Republic of Kenya y NORDIC DEVELOPMENT FUND Ministry of Roads and Public Works Northern Corridor Transport Improvement Project Credit No.: 3930 — Ke (NDF 434) Consultancy Services for the Reclassification of the Road Network and Undertaking of a Road Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report July 2010 Published 05 July 2010 - Rev 13, Project No. 80.3705.01 Compiled Kithinji Kanyaura, Hans Holm Petersen Checked Robert Cauri Approved Hans Holm Petersen Rye ra Grontmij | Carl BroReclassification of the Road Network and undertaking of a Road Page i Inventory and Condition Survey of the Unciassified Roads Road and Bridge Inventory and Condition Survey Report TABLE OF CONTENTS PAGE ABBREVIATIONS AND ACRONYMS m EXECUTIVE SUMMARY w A The Project iv B Implementation of the RICS Surveys iv © Recommendations v 1. Introduction 1 1.4. Introduction 1 1.2. Project Information 2 1.3. Consultancy Contract Timelines information 5 2, Road and Bridge Inventory and Condition Survey Methodology 6 2.1. Methodology 6 22. Planning issues 6 2.2.1 Identification of the inventory and condition parameters 7 22.2 Equipping and staffing the RICS survey teams. 7 223 Training the RICS survey teams and local road staff 8 224 Plan the RICS survey team activities 8 225 Performance of the RICS surveys 10 2.2.6 Quality assurance of the RICS surveys 10 22.7 Downloading and post-processing dala files 10 2.3. Pilot Road (and Bridge) Inventory and Condition Survey for Nakuru District 10 2.4. Road (and Bridge) Inventory and Condition Survey, Phase 2 1 24.1. Data Dictionary 14 2.42. Road Inventory and Condition Survey Methodology 12 24.3, Equipment and Staff 12 2.4.4, Data Collection Programme, Time Schedule and Progress Monitoring 13, 245. Progress Monitoring 13 246, Data Processing 14 3. Road and Bridge Inventory and Condition Survey Fieldwork 5 3.1 Road Inventory and condition survey 15 3.2 Bridge Inventory and condition survey 7 3.3. Progress Monitoring 7 4, RICS Findings 20 4.4. RICS output by Districts 20 4.2, Progress Tables, Maps and Charts 20 4.3. Challenges encountered during fieldwork surveys 2 44, Lesson learned 24 ANNEX 4 23 1-1 District Location Map 23 ANNEX 2 24 2-1 Nakuru District Surveys. 24 2.2 Simplified Data Dictionary 24 gach « Grontmij | Carl BroReclassification of the Road Network and undertaking of a Road Page ii Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report 2.3 Structure of Road and Bridge Database 2-4 Condition Ratings 2-5 Progress of RICS Field Works - Sample Tables ANNEX 3 25426 3-1 RICS, 2009 database 3-4-1 All Events Table_RICS 3-1-2 All Events Table_URICS 3-1-3 Mwingi District, Pavement Types 3-2 Ken BridgeMan, 2009 Main Tables 3-2-1 Ken BridgeMan, 2009 Data Dictionary 3-2-2 Ken BridgeMan, Detailed Inspection Record 3-2-4 Ken BridgeMan, Structures on AZ 3-2-5 Ken BridgeMan, Structures on P2730_Nairobi ANNEX 4 2 4-1 Road Inventory Data per District 4-2 Road Condition Data per District gach « Grontmij | Carl BroReclassifation of the Road Network and undertaking of a Road Page i Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Contition Survey Report ABBREVIATIONS AND ACRONYMS a0, Four Wheel Drive ‘ARICS ‘Annual Road inventory and Condition Survey ‘ATV All Terrain Vehicle BMS Bridge Management System ESRI Environmental Systems Research Insitula GIs ‘Geographic information System GPS. ‘Geographical Positioning System HE igh Frequen HOME Highway Design and Management Series Suite of software CT Information and Communication Technology IRL International Roughness Index ‘KenBridgeMan | Bridge Management database established in 2004 and expanded in 2009 KFS Kenya Forest Service Km Kilometre KUTIP Kenya Urban Transport Infrastructure Project KRB Kenya Roads Board KWS. Kenya Widife Services MC. Motorcycle ‘MoLG | Ministry of Local Goverment MORPW, Ministry of Roads and Public Works. PC Personal Computer ‘PR ‘Quarterly Progress Report RICS Road Inventory and Condition (RIG) Suney RICS 2004 | The database of the RICS for classified roads, 2003.04 RICS 2009 | The combined databases RICS2004 and URICS2009 for re-lassifed roads RMS Road Management System ROW Right-of-Way SIDA, ‘Swedish international Development Cooperation Agency ToR ‘Terms of Reference 'URICS 2009 | The database of the RICS for unclassified roads, 2007-2008 VEE Very High Frequency gath Ke Grontmij | Carl BroReclassification of the Road Network and undertaking of a Road Page iv Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report EXECUTIVE SUMMARY A The Project ‘This Road and Bridge Inventory and Condition Survey Report covers the entire road inventory and condition survey of the unclassified roads, including bridge inventory and condition survey under the Road Inventory and Condition Survey (RICS) Consultancy contract. The objectives of the RICS Project were: 1. To develop a national road classification system for the entire road network in Kenya (comprising of national highways, urban and rural roads); 2. To develop guidelines for implementation of the developed classification system: 3. To cary out the Road Inventory and Condition Survey (RICS) of the unclassified road ‘network, numbering and naming each road link; 4. To merge the RICS data with the existing data so as to have the entire road network in Kenya inventoried, classified and its current condition known: 5. To develop a sustainable framework for updating the data in (4) above. ‘The consultancy contract commenced on 4" December 2006, and was implemented in two phases. Phase 1 of the contract covered development of Road Classification System and performance of a pilot RICS for Nakuru District. Phase Il started in July 2007 and involved teclassification of the classified roads, RICS for unclassified roads for the remaining 70 districts and classification of the unclassified roads captured under the RICS. Initial timing and scope of services were as given below: Phase 1 — Development of Classification Guidelines and RICS of Nakuru District Stnohiis (Pecetaber 2005 = Febrisry 2007) Phase 2 Implementation of the Classification Guidelines and RIGS of the Unclassified 42 months (March 2007 ~ February 2008) Roads B__ Implomentation of the RICS Surveys ‘The present report essentially concems the objective 9 above. This task included surveys of £96,938 km of unclassified rural and urban road network. The surveys were carefuly planned and upon the approval ofthe parameters required for the road condition and inventory database, the surveys were begun in May 2007, stating with the plot surveys in Nakuru district, Experiences with the pilot surveys and later the full scale surveys revealed that the surveys were highly sensitive to accessiblity of the district road officers, rainfall patterns, the ease of locating the Toads, the access to the survey sites, survey logistics, the GPS-survey equipment, toad accidents, vehicle damages from poor roads, and the secutty situation in the disticl. The anticipated production rates could not be achieved, probably due to the fact thatthe unclassified roads consttuied the lowest classes of roads at the least accessible part of the network as well as the roads in urban areas, Both these road segments were characterised by ow suney Velocities and logistical constraints leading to addtional driving. As the reduced survey production rate was appreciated, the composition of the survey vehicle types was changed and the numbers of survey teams increased. Upon completion of the first survey round remobilisation for additional surveys of missing roads was complicated by late comments by the districts on the maps of the surveyed roads. ‘The surveys comprised surveys of 98,938 km of which 88,749 km and 10,189 km were rural and turban roads respectively. The distribution of the Kenya classified road network after the (e)classification analyses is indicated in the following tables. gach @ Grontmij | Carl BroReclassification of the Road Network and undertaking of a Road Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report Page v Table 1: Kenya Classified Road Network, Rural Roads Rural roads Total ‘Now Classification, rural Longs | A Be im | hm km km km sk ~—wm km Classified erodes] 51809 28440 88250 129100 19.5305 54280 5.1871 nctassitied sesso] 20 4013058070410 4.7000 76.1210 Reclassiiention 160,896] 5,188.0 26480 9.9380 13,7680 26,5805 10.197.0 8108.1] 12,5488) Table 2: Kenya Classified Road Network, Urban Roads. Urban roads ‘New Classification, urban Totattength | __H. J K L M N. 2 7 eng em i ss Reclassification | szseas| t377 e277 26217305 204355437384 Recommendations Identification of Unclassified Roads subject to the RIC Surveys The selection of unclassified roads subject to the RIC Surveys was to be determined during the implementation of the pilot surveys. Intially the definition of an unclassified road was selected as ‘a motorable road. During the surveys in the Nakuru District, the teams struggled to survey roads that were hardly motorable, or were too narrow. An intermediate selection of 6 m Right-of-Way as a criterium for a road to qualify for RICS survey was adopted. Later it was decided that Unclassified roads should have a ROW of basically 9 m which was considered the bare minimum of road reserve for an engineered road. ‘The use of visual assessment of road reserve to determine inclusion or exclusion of roads in the surveys might be inaccurate and not reflecting the relative importance of the roads in the road network hierarchy. It is ikely that local authorities in coming years will find that roads of importance to the districts have been left out of the surveys. ‘The Consultants recommend that the districts use the road maps to identify roads not surveyed Under the present project and that KRB at the next review of the reclassification considers possible changes in the classified road network. It should be noted that the Road and Bridge databases and the road maps are tools well suited for such assessment of the completeness of the road network, Selection of Condition and Inventory Parameters ‘The inventory and condition parameters of the 2004 RICS survey were essentially adopted to optimise the use of the previous RICS 2004 survey data and to meet the current requirements of KRB. The chosen condition parameters may be sulted for future monitoring of the road network whereas they may not fit into all RMS-systems envisaged to be applied by the road agencies. A technical note, on data collection framework for the sustainability of the databases is boing prepared by the consultant and will suggest approaches for alternative selection of inventory and condition parameters. It is recommended to consider the recommendations of the note on data collection framework and if appropriate adapt the database to fulure requirements for data collection, RICS findings ‘The RIC Surveys have been undertaken with appropriate survey equipment. its recommended {0 use of the survey manuals to replicate the surveys for inventories and condition surveys at suitable survey intervals, e.g. inventories every 5 years and condition data in 5 year cycles. gata « Grontmij | Carl BroaM. Reclassification of the Road Network and undertaking of a Road Page 1 Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report Introduction Introduction The project for Reclassification of the Road Network and undertaking of a Road Inventory and Condition Survey of the Unclassified Roads, in short the RICS project comprises two Phases and an extended period Phase 1 — Development of Classifcation | 3 months (December 2008 — February 2007) Guidolines and RICS of Nakuru District Phase Z— Implementation of he ‘2 manihe March 2007 ~ February 2008) Classification Guidelines and RICS of the Unclassified Roads Phase 2, Extended Period — ‘Aten month period of extension was provided forin Implementation of the Classification ‘Addendum No 2to the Contract. Guidelines and RICS of the Unciassiied Roads ‘The extended contrac period was to run from 4th March 2008 to 4th January 2009. Howover, due to complexity in the scope of services and constraints of data availabiy, the January 2009 deadline was not met, and the project period was further extended by 8 months, to November 2008. The Consultancy Services for RICS Project commenced on 4th December 2006. Phase | was completed in July 2007 while completion of Phase II is now,anticipated by the end of November 2009, The RICS surveys were completed in the field on 23% July 2009. The objectives of the Project are: 4, To develop a national road classification system for the entire road network in Kenya (comprising national highways, urban and rural roads); 2, To develop guidelines for implementation of the developed classification system; 3, To carry out the Road Inventory and Condition Survey (RICS) of the unclassified road ‘network, numbering and naming each road link; 4, To combine the RICS data with the existing data so as to have the enti Kenya classified, inventoried and its current condition known; 5. To develop a sustainable framework for updating the data in (4) above. road network in ‘The present Road and Bridge Inventory and Condition Survey Report covers the inputs, processes and outputs developed in the course of undertaking the Road Inventory and Condition Survey, the RICS surveys, under the present project. ‘The report is closely related to the following manuals dealing with field survey activities: ‘+ GPS Field and Office Manual, November 2008, * Road and Bridge Inventory and Condition Survey Procedure Manual, November 2009, GIS Data Processing Manual, November 2009, ‘The report was initially planned as four reports: Road Inventory Survey Report; Road Condition Survey Report; Bridge Inventory Survey Report; and Bridge Condition Survey Report gath « Grontmij | Carl Bro1.2, Reclassification of the Road Network and undertaking of a Road Page 2 Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report However, due to the performance of the above “four” surveys as one combined Road Inventory and Condition Survay, also accommodating the bridge surveys, the Consultant requested that the reporting could be done in initially two reports (toads and bridges) and eventually in the present single report. This was accepted by the Steering Committee on the 17" meeting, 15" September 2009. The report presents in accordance with the Terms of Reference (TOR) the detailed methodology adopted, a print out of the updated inventory data, a summary of the inventory data and discussion of the findings. The format of the report is: © Executive Summary #4. Introduction ‘+ 2. Road and Bridge Inventory and Condition Survey Methodology + 3. Road Inventory and Condition Survey Fieldwork + 4 RICS Findings ‘This Report covers RICS activities for roads and bridges during the two project phases and the extended period provided in the contract. The RICS activities are taken to include the download of the survey files and the preliminary vetting of the survey data, whereas the database ‘operations are described in the Database User Manual for respectively the Road Database: RICS 2009 and the Bridge Database: Ken BridgeMan 2009. Project Information Since the turn of 20th century, Kenya's national road network has grown to provide access to all parts of the country. The road network consists of paved, gravel and earth roads and is currently divided into classified roads and unclassified roads. The length of the originally classified road network was 63,292 km, a breakdown of which is given in Table 1-1 below. Table 1-1: Existing Classified Road Network’ Roads Length (Kilometres) ‘Glass | Description. ‘Bitumen [Gravel [ Earth Total A Tntemabonal Trunk Roads 2,886 77 152 3.758 8 ‘National Trunk Roads 1.433, a5 524 2.798 c Primary Roads [2487 | 3.208 1.972 7.668) 0. ‘Secondary Roads 4167 6,484 3.565 1217 E ‘Minor Roads 751 7,208 18,592 28.549 ‘SP Special Purpose. 24, 3724 2.366 11,304 Toul | 8.938 27,i65_| 27,471] 63,282 ‘At the outset of the present project the length of the unclassified road network was not known ‘with certainty but had been estimated to range from 80,000-130,000 km, so that the total length. of the whole motorable road network was estimated to range from 143,292-193,292 km. These figures have been ascertained during this project. The unclassified roads inventory has produced 98,938 km of which unciassified urban roads constitute 10,189 km. The unclassified Toads have been classified using the new classification system, To secure a uniform classification under the new classification system the classified road network was also subject. to re-classification analyses. The total length ofthe classified road network presently stands at 160,886 km. Kenya Roads Board (KRB) is mandated, under the KRB Act 1999, to manage the Kenya Roads Board Fund, providing for clear allocation of monies to roads and Roads Agencies. The Road Agencies al the outset ofthe project and in accordance with later re-organisation of the road sector are indicated in the table below. * pccoraing to the Project TOR gah 4@ Grontmij | Carl BroReclassification of the Road Network and undertaking of a Road Page 3 Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report Table 1-2: The road sector Road Class Road length | Road agency (TOR) Current Road Authorliy ‘Classified Roads ‘National Roads TazaE km | RD of MRPWH Kena District Roads 749,070 km | Distret Road Commifees | KeRRA. Total | 63,292 km. Unclassified roads. Urban Roads: 74530; | City munkipal, town couneils_| KURA Rural Roads 190.500 km | District Road Committees | KeRRA ‘Game Park Roads 2736 km | KWS Kenya Widlfe Services Forest Roads. 800k | KFS. Kenya Forest Service Total | 114,566 km ‘Abbcoviatons! ROG{MRPWH — Roads Department of Ministry of Roads, Public Works and Housing KeNHA Kenya Natonal Highway Autry KeRRA Kenya Rural Road Auth KURA Kenya Urban Road Auhosty Kws Kenya Wisife Service KFS. Kenya Forest Sovice ‘The Road Agencies will be establishing Road Management Systems (RMS) that will be used to deliver optimum management of the roads that fall within their jurisdiction. AL the outset of the project the administrative organisation of Kenya's road sector was located as shown on Annex 1-1 District Location Map. To optimally make use of such systems, it will be necessary for each road agency to have in place a database that accurately reflects the road inventories and conditions of the networks that they are responsible for. Towards this objective, RICS of the existing classified roads was carried out between 2001 and 2004, RICS of the unclassified roads was undertaken under this project to complete the road inventory and condition data for the entire road network, and to incorporate the new inventory into @ new KRB road geodatabase. ‘The project was delivered in two phases. Although a large part of the project concemed tasks related to classification and reclassification analyses, establishment of databases, and mapping, the RIC Surveys were clearly the major activity of the present project. This activity was performed in a staggered work programme where the RICS overlapped the early classification analyses undertaken under Phase 1 as well as the compilation of the road and bridge databases during Phase 2 up towards the end of the project. Phase 1: Development of a Classification System During Phase 1, the RICS surveys were initiated by performance of a pilot RICS survey for Nakuru District. The TOR indicates the following task. ‘= Carry out a pilot road classification system and road inventory and condition survey for Nakuru District. ‘The Nakuru District is shown on Annex 1-1. The surveying activities were programmed, ‘guidelines for the surveys were prepared and survey teams were established and trained in Performing the surveys. During the surveys in the pilot district certain corrections were made to the survey methodology as indicated in the Chapter 4. Phase 2: Road Inventory and Condition Survey of Unclassified Roads During Phase 2, the Consultant carried out RICS of the unclassified roads, which included the following RICS related activities for roads and structures: For all unclassified rural roads: gach ra Grontmij | Carl BroReclassification of the Road Network and undertaking of a Road, Page 4 Inventory and Condition Survey of the Unclassified Roads Road and Bridge inventory and Condition Survey Report + Carry out a detailed physical Road Inventory and Visual Condition Survey ofall road links and all structures and drainage elements using a GPS and other equipment as shall have been recommended so as to update KRB and road agencies databases and also provide sufficient information needed to identify and quantity the routine maintenance, periodic maintenance and rehabilitation requirements. + Using a combination of GPS and satelite imagery, map the centreline of each road link together with all road junctions and major bridges and crossing structures and thereby verity all co-ordinate points of major features of the road links; and from this data produce detailed maps and schematic nodal links maps by road type, road class, traffic density, and road condition. For all unclassified urban roads: + Carry outa detaited physical Road Inventory and Visual Condition Survey ofall unpaved ‘oad links and all structures and drainage elements using a GPS and other equipment as shall have been recommended by the Consultant so as to update KRB and road agencies road inventory databeses and also provide suficient information needed to identify and quantify the routine maintenance, periodic maintenance and rehabiltation requirements + For the paved roads in addition to a detailed physical Road Inventory and Visual Condition Survey the condition survey should include the determination of the road links IRI (Intemational Roughness index) using approximate technology as shall have been recommended by the consultant. + Using a combination of GPS and satelite imagery map the centreline of each road link, major buildings and all road junctions and major bridges and crossing structures and thereby verity co-ordinate points of major features of the road links; and from this data produce detailed maps and schematic nodal links maps by road type, road class, traffic density, and road condition (surface type and IRI) For structures: ‘+ Using a recommended off the-shelf Bridge (and other structures preferably) Maintenance Management System package, update the drainage structures inventory and their conditions databases and link the system to other databases with which the new system ‘must be fully compatible (especially the one in use in the on-going RICS of the classified road network); and introduce and use the system in road agencies. The drainage structures are limited to bridges, box culverts, multiple culverts and drifts The Surveys of Road and Bridge Inventory and Condition Surveys progressed until completion of the surveys as indicated in the attached Annex 1-2 Progress Chart — Completion. The Consultant, within Phase 2, also implemented the new classification system on the existing classified roads and on the newly inventoried road links. The classification covered the entire road network, leading onto a development of a new road geodatabase. Other tasks of the Phase 2 - RIC Surveys which affect the RICS but has been dealt with in other reports inciude: + Recommend the most appropriate approach to carrying out a one-time comprehensive traffic survey (and later appropriate regular surveys on both the classified and Unclassified road network road links and its implementation in order to obtain regular traffic data for the road links, ‘+ Develop a sustainable framework for updating all inventory and condition data between. road agencies and KRB. gath ra Grontmij | Carl Bro13. Reclassification of the Road Network and undertaking of a Road Page 5 Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report ‘The recommendation for a traffic survey was submitted in the Traffic Survey Report on. February 2008. The actual traffic survey was implemented by Ministry of Roads during August 2008 and the data was used in the RSIP. The framework for updating all inventory and condition data will be reported in the report on Data Collection Framework presently under preparation. It was in accordance with the Terms of Reference assumed that some projects had been performed previously which provided data for which efforts on duplication of data collection should be avoided. These projects include: + Kenya Urban Transport Infrastructure Project under which digital aerial mapping and road inventory was undertaken for 26 primary and secondary towns. + Roads 2000 Nyanza project road inventory covering 9 districts in Nyanza From KUTIP a total of 4 ~ 5,000 km and from the SIDA funded Roads 2000 Nyanza Project approximately 10 ~ 12,000 km of roads was anticipated to be available for the RICS. However, the data were inadequate and could not substitute the RICS surveys. Consultancy Contract Timelines Information Item Date Notification of Award: 25” September 2006 Date of Contract Signature: 12” October 2008 Date of KRB Letter of Commencement J” (the effective date) a Commencement Date: 4° December 2008 Original Contract Period: 46 months Contract Extension Period 40 months Extended Contract Period 25 months. Contract Delivery Period 36 months. Phase 1 — Classification Guidelines and RICS vinta Dette ‘3 months (December 2008 - February 2007) Phase 2 ~ Implementation of Classification Guidelines and RICS of the Unclassified 412 months (March 2007 ~ February 2008) Roads: Extended Period 410 months (March 2008-January 2009) Completion of contract November 2009 gata ra Grontmij | Carl Bro24. 2.2. Reclassification of he Road Network and undertaking of a Road Page 6 Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report Road and Bridge Inventory and Condition Survey Methodology The surveys of unclassified rural and urban roads were estimated to range from 80,000 ~ 430,000 km. This magnitude of surveys necessitated a very detailed planning and preparation of the surveys. The preparation of the surveys was advanced to take place during the Phase 1 = Development ofa Classification System. Methodology The survey teams were fo carry outa detailed Road Inventory and Visual Condition Survey of all unclassified road inks, structures and drainage elements using Trimble GPS equipment ‘The data loggers run Trimble Tertasyne Professional” sofware, with the Data Dictionary described below. A georeferenced background map showing the classified road network, towns, facilities and other features that were collected during the earlier Classified RICS project was loaded onto the field loggers to assist the surveyors to know their current location. As the survey proceeded, the surveyors added the road network they had collected to the existing background to ensure that they did not leave out any roads or survey a road twice. To avoid duplication, the survey teams were assigned survey units bounded by the classified roads, or physical features such as rivers and hills. Whenever possible, the team would make use of local Road Officers, Provincial Administration Officers and area residents to help identify the roads, To ensure that no roads were missed out, the teams would use a consistent procedure of surveying unclassified roads found on one side of the accessing road in the direction of travel, before surveying the unclassified roads found on the other side of the accessing road. The project was undertaken on a district by district basis, beginning with the Nakuru Pilot District fo test and refine the field procedures that were to be used during the main project. Following advice from the Nakuru District Roads Engineer, the team started work in areas ‘which would become impassable during the rainy season that was expected to start soon. The extent of the RIC surveys in Nakuru District is shown in the Annex 2-1 Prior to travelling to a district, the District was contacted to ensure that the survey teams could be met and accompanied by district road engineers or other district representatives for Identification of the proper roads to survey. At the end of the surveys in each district the district officers were supposed to verify that the roads surveyed were the correct roads and that all the roads to survey had been surveyed. Eventually the inital visit to the District H@ proved to be dificult to organise, the accompanying officers difficult to secure, and the final verification by the district impossible to obtain. Therefore the road surveys were considerably delayed by the need to send road maps of the surveyed roads back to the districts to obtain the veritication of the complete and appropriate surveys ‘subsequent to the surveys. The fact that additional surveys had to be performed to include ‘missing roads considerably delayed the completion of the surveys. Planning issues ‘The preparatory activities included: + Identifying in conjunction with KRB the inventory and condition parameters for the roads and structures to survey under the RICS. + Equipping and staffing the survey teams. + Training the teams to ensure an adequate and consistent quality of data collection, and to ensure high survey productivity. sath « Grontmij | Carl Bro224 222 Reclassification of the Road Network and undertaking of a Road Page Inventory and Condition Survey of the Unciassfied Roads Road and Bridge Inventory and Condition Survey Report + Train officers of local authorities and focal representatives of road authorities in providing assistance with data collection, in particular in identifying roads, awareness of data collection techniques, and certification of the completeness of the surveys. + Plan the survey team activities with respect to contact to appropriate authorities, identification of survey tasks, planning of logistics. ‘+ Setup a QA Plan for quality assurance of the RIC Surveys. Identification of the inventory and condition parameters, The identification of the inventory and condition parameters for the roads and structures to survey under the RICS had to consider data acquisition from the following sources: + KRICS 2004 ‘+ Ken BridgeMan 2004 + SIDA Nyanza Project, + KUTIP project ‘The appropriateness of the data was considered and discussed in connection with the preparation of the Consultant's KRB RICS Database Report, The Nyanza and KUTIP projects did not have any effect on the parameter selection since these projects were not suited for integration. The K RICS 2004 and the Ken BridgeMan 2004 have both been integrated into the eventual databases and have affected the parameter selection and specification considerably. ‘The definition of “unclassified roads” was to be determined during the planning of the surveys. Initially the definition of an unclassified road was selected as a motorable road. During the ‘surveys in Nakuru District the teams struggled to survey roads that were hardly motorable, or were too narrow. An intermediate selection of 6 m ROW as a criterium for a road to qualify for, RICS survey was adopted. Later it was decided that unclassified roads should have a ROW of basically 9 m which was considered the bare minimum of road reserve for an engineered road, In connection with preparation of programmes for the Road Sector Investment Programme, additional surveys of roughness for rural paved roads, traffic volumes, and pavement strength have been carried out. However, these parameters are not integrated in the road and bridge databases. The Simplified Data Dictionary, refer Annex 2-2, describes the inventory and condition parameters used in the present project. The structure of the road and bridge database is shown in Annex 2-3, Condition ratings and guideines for use of the ratings is shown in Annex 2-4. Prior to the performance of the road and bridge inventory and condition surveys, the data dictionary was programmed into the GPS data loggers as indicated in Section 3 of the GPS Field and Office Manual to provide a pre-programmed data collection form. Equipping and staffing the RICS survey teams 4WD vehicles, ATVs and Motor Cycles were used during the Phase 1 pilot project. Each vehicle was manned by a surveyor / data collector a district / local authority Road Officer and a driver. The vehicles were equipped with: + Long range HF radio for communication with the Nairobi Head office and other vehicles; Short range VHF radio for communication with the motor bikes/ATV in the vicinity; Mobile phones; Laptop PCs equipped with GPRS modem for sending field data back to head office at the end of each day ‘+ Safety gear including waming triangles, flashing lights, reflective jackets, etc.; Shovels, spades, pangas, etc.; gach e Grontmij | Carl Bro223 224 Reclassification of the Road Network and undertaking of a Road Page 8 Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report + Trimble XB rugged GPS data logger, GPRS / GPS vehicle tracking system ~ to allow for tracking the location of vehicles and reporting: 2 spare tyres: High lit jack; Spare diesel containers; 30m Tape or Laser Distometer, Digital camera ‘The Motorcycle and ATV were equipped with mobile radio sets and Trimble Recon XB GPS data Loggers as shown below. The data loggers were programmed to contain the data collection forms applicable to the surveys and loaded with appropriate segments of maps representing the classified road network surveyed in 2004, ‘Trimble Recon XB GPS Vehicle Tracking Unit A separate vehicle equipped with a Roughometer was used to measure the Roughness Index of the paved urban unciassified roads Each of the 4WD vehicles was manned by a surveyor / data collector, a district / local authority Road Officer and a driver. The Motorcycles and ATVs are manned by a driver / surveyor. ‘Training the RICS survey teams and local road staff Prior to the start of RIC survey activities the survey teams were subject to training in + An introduction to GIS and GPS + Anintroduction to Proposed Reclassification + Road Condition Survey for paved and unpaved roads During the course of the surveys the technical staff in the provinces, districts and the ‘municipalities was subject to the same training for the purpose of achieving uniformity between the RICS surveys and the ARICS surveys and for possible support to the survey teams during the survey period. Plan the RICS survey team actvities, Data collection was organised by District, since this would be the most logical survey unit. In order to develop milestones for Phase 2 data collection and to set a realistic timing for their achievement, a number of criteria were used as follows: Rainfall pattems in the country; Estimated number of kilometres to be survey within each District; ‘The size of the District (in terms of population and km2); Adjacency of the districts; gath ra Grontmij | Carl BroReclassification of the Road Network and undertaking of a Road Page 9 Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report ‘+ Estimated survey output in km per day for each survey unit type; + Number of each type of survey units; + Ability of various vehicle types to carry out surveys in different types of terain / country. ‘The long term rainfall average on figure 2-1 on next page shows the rainfall patter. The zoning of the URICS surveys taking the various above criteria into consideration is shown in figure 2-2 ‘on the next page. ‘As the fieldwork progressed the progress of the field teams were regularly monitored and ‘compared with the planned output. This involved two-weekly reports submitted to the Team Leader on: Kilometres surveyed per team / surveyor Total kilometres travelled for each vehicie / Motorcycle or ATV Fuel usage Maintenance cost ‘Weather and other factors affecting the survey work. Figure 2—1: Long term Rainfall Averages. Kale IMonbasa [Gasca IMarsabt cc aH ie [Teso [Lamy Mander West Pokt [co Iuaind [Tana Rie [rata Tat IK Suba a Tansee jurvey Zones and the Districts inclu gath ¢ Grontmij | Carl Bro2.25 226 227 2.3. Reclassification of the Road Network and undertaking of a Road Page 10 Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report Performance of the RICS surveys Once the pre-programming of the GPS data loggers and equipment calibration had been Completed, the dally data collection activities for road and bridge inventory and condition surveys began. These activities concemmed the recording of the appropriate features entered in the GPS data loggers while traveling along the road alignments to be surveyed. Particular features which were not entered in the data loggers would be entered if required. Refer the Road and Bridge Inventory and Condition Survey, Procedure Manual for detailed description of the various activities. Quality assurance of the RICS surveys Regular quality assurance checks were also carried out by + Fine tuning of the survey processes by e.g. checking the calibration of the equipment or carrying out random field checks to confirm the quality of the data collected, + Using available maps and satelite images to overlay the field data and check its acouracy (and that of the maps and satelite images). + Obtaining certification of surveys by districts. * Resurveying of omitted roads. Downloading and post-processing data fles The field teams created one to two files for every day's work. By the end of the week, each survey team had 7 or more files of data representing the area surveyed. These ‘combined into a single fle using the "Combine Files Ulilly” in Pathfinder Office, making them ‘easier to administer. The file was then stored in the “COMBINED” folder within the appropriate, istrict folder, and appropriately named to indicate the surveyor and date of fieldwork. Once the data was collected in the field it was downloaded from the GPS units onto the survey team laptop and sent to Nairobi by e-mail as attachments on a daily basis for editing and post- processing. Each team was provided with a laptop PC with a wireless GSM modem that could ‘connect to the internet anywhere there would be mobile telephone network services. Generally data submission to Nairobi office was done with 3-7 days recurrency. Pilot Road (and Bridge) Inventory and Condition Survey for Nakuru District ‘The project was undertaken on a district by district basis. Nakuru District was used as the Pilot istrict to test and refine the fled procedures that were to be used during the main project. The Nakuru District RICS of rural and urban unclassified roads started on 15 May 2007 and was ‘completed in November 2007, The initial estimate of the length of the unclassified network for Nakuru was 4,000 km. The classified road network length surveyed in RICS 2004 was 1,826 km amounting to a district network lenath of approximately 5,826 km. ‘The Nakuru survey team consisted of: ‘+ Initial composition (15/5/09): 2no.4WD vehicles = 1ATV, = 1 MC. + Typical composition: ‘4no.4WD vehicles = 1ATV. = 1 MC ‘The intially reported inventory, covered 8,936 km of unclassified roads in motorable condition ‘This quantity has been corrected for roads of less than 6 m ROW, for duplicate roads, and ‘editing of errors in alignment and terminal sections to 7,711 km. Of these 146.5 km were paved and 1,384 km had ROW of less than 9 m. It should be noted that due to weather conditions in Nakuru the surveys were temporarily discontinued at several occasions. gath « Grontmij | Carl Bro2.4, 244 Reclassification of the Road Network and undertaking of a Road Page 11 Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report The performance of the surveys was a recording of pre-defined inventory and condition parameters as also indicated in the data dictionary. Refer also the Road and Bridge Inventory and Condition Survey, Procedure Manual. ‘The findings of the Pilot Surveys regarding progress and efficiency were: ‘+ Recruitment of staff able to ride motorbikes and perform the surveys technically was difficult. More ATVs were required. ‘+ Itwas dificult to get district road personnel to assist the survey team to lo land other knowledgeable local people should be found. Heavy rainfalls in Nakuru from May to July. + Insecurity caused by land clashes necessitated relocation of survey teams. + Reduce the average rate of surveys as follows: ‘© Reduce rate of progress for 4WD vehicles from 50 kmiday -> 40 km /day. ‘© Reduce rate of progress for motorcycles from 30 km/day -> 20 km /day. ‘+ Redefine unclassified road from “motorable’-> >m road reserve-> >9m road reserve. + Perform RICS prior to roughness surveys to identify the location of paved roads. + Field survey team dedicated to urban roads surveys only. the roads Major challenges faced by the survey team during the Pilot period were: ‘Accidents with motorbikes Failure of Trimble equipment (8 break downs out of 14 possible) Long travel distances with few roads Break down of vehicles due to bad roads Security — Kuresoi Rain Nakuru, Election campaign, ‘The extent of the survey of Nakuru District is attached as Annex 2-1 showing an image of the classified road network as of 2004 and an image of the surveyed and reclassified network Road (and Bridge) Inventory and Condition Survey, Phase 2 Data Dictionary ‘The original Data Dictionary used in Phase | underwent several changes during the intial pilot phase to include attributes and attribute values that were found to be needed. These included 1) Two new road surface types: Natural - where the road in use has never been graded or improved and there are no clear tyre tracks to indicate use, or is mainly grass or short bush and Track - as above, but clear tyre tracks are visibie. 2) An“Under Construction’ attribute value for Surface condition 3) A ‘Loc Drain’ attribute, with possible values of “One Side" and “Both Sides” for describing the location of road side drains. 4) A*Surveyor" attribute to record which surveyor had carried out the survey. This field is, ‘automatic, and defaults to the surveyor allocated to the data logger. 5) A “Road Usage" attribute with possible values of “Busy”, “Used” and "Rare" to indicate the level of road usage. 6) A‘NumberVentLines® attribute to indicate if a drift is vented (has a number of small culvert pipes under the road surface to allow low flows to pass under the road surface). The revised Data Dictionary for Phase 2s attached as Annex 2-2 ®nal Annex 4 PR 1, November 2007 or Table in the Inception Report for Phase 2, February 2008, gath « Grontmij | Carl Bro242. 2.4.3. Reclassification of the Road Network and undertaking of a Road Page 12 Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report Road Inventory and Condition Survey Methodology ‘The findings from the Nakuru Pilot District surveys led to review of the planning of the surveys due to limited changes in parameters (‘efer 2.41) and substantial changes in planned Productivity per survey unit. Also the initial visit to the district HAs proved to be difficult to organise, the accompanying officers difficult to secure, and the final verification by the districts impossible to obtain. This led to uncertainty regarding selection of the roads, naming of the roads, etc. and made the verification of the complete and appropriate surveys subsequent fo the surveys more time ‘consuming due to the need to send road maps of the surveyed roads back to the districts to ‘obtain the concurrence to the surveyed roads. In fact additional surveys had to be performed to Include missing roads in most districts. ‘The planning of surveys, the composition and equipping of survey teams and procedures and performance of detalled Road Inventory and Visual Condition Survey of unclassified road links, structures and drainage elements has been described in detail in the Road and Bridge Inventory and Condition Survey Manual, issued in October 2009, ‘As the surveys progressed and the more densely populated areas and urban centres became less significant, the role played by off-road motorcycle and All Terrain Vehicle teams effectively ceased. (Once the surveys moved to the more remote and sparsely populated areas of Kenya (generally in the North and North-East), it was considered more secure and practical to undertake surveys by 4WD vehicle. Equipment and Staff Equipment From the start of the RICS surveys for Phase 2 in July 2007, the survey teams were composed of survey units using 4WD vehicles, all terrain vehicles (ATV) and motorbicycles (MC). These units were equipped as follows: ‘+ Long range HF radios for communication with the Nairobi Head office and other vehicles; ‘+ Short range VHF radios for communication with the Motorcycles / ATV in the vicinity ‘+ Mobile phones; ‘+ Laptop PCs equipped with GPRS modem for sending field data back to head office at the end of each day; Safety gear including waming triangles, flashing lights, reflective jackets, etc Shovels, spades, pangas, etc.; ‘Trimble XB / XC rugged GPS data loggers; CES Wireless GPRS vehicle tracking units; 2 spare tyres; High lift jacks; Spare diesel (or petrol) fuel containers; 30m Tape or Laser Distometers; Digital cameras. Each motorcycle and ATV is equipped with a mobile radio set as well as Trimble data loggers as mentioned above. The Motorcycle and ATV were equipped with mobile radio sets and Trimble Recon XB GPS data loggers. During the Pilot Surveys of Nakuru and the expansion to other districts the survey team ‘composition was expanded as follows: gach a Grontmij | Carl Bro24, 245, Reclassification of the Road Network and undertaking of a Road Page 13 Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report ‘Table 2-1: Survey team composition Reporting period ‘Survey vehicles ‘Survey Lengih ‘AND vehicles | Allterrain | Motor cycles May — September 2007 5 no. TATV. TMC | __ 16,838 km ‘October = December 2007 6no. ZA aMC "38,484 km ‘January = March 2008, no. SAT ‘SMC. 61,872 km ‘April = June 2005, To. ZATV SMC. 182,240 km July = September 2008 ‘no. 0 TMC. 94,818 km ‘October = March 2003" Sno. 0 TMC 99,965 km March — June 2008 2no. oO 0 103,837 km ‘Staff Each of the 4WD vehicles was manned by a surveyor / data collector and a driver. The Motorcycles and ATVs were manned by a driver / surveyor. Generally the project was able to find able and competent staff to perform the survey activities, However, during the build-up of the survey teams it was found that recruitment of staff able to ride motorbikes and perform the technical aspects of the surveys was difficult. More ATVs were acquired to provide flexibility in vehicle types and staff experiences. Towards the end of the surveys the number of districts reduced sufficiently to enable a vehicle to be re-assigned to roughness surveys and others to follow up on missing links in completed districts. Data Collection Programme, Time Schedule and Progress Monitoring Using the findings of the Nakuru Pilot District RICS surveys, the Data Collection Programme was revised. The programming and progress monitoring tables from the Quarterly progress Report No, 2, Oct. - Dec. 2007, are attached as Annex 2-5 Prograss of Road inventory and Condition Surveying Field Work as an example. Data Collection Procedures were as indicated in the Road and Bridge Inventory and Condition Survey, Procedure Manual. Progress Monitoring ‘The progress of the field teams was regularly monitored and their rate of surveying was compared with the planned output. The following weekly reports were produced: Kilometres surveyed per team / surveyor Total kilometres travelled for each vehicle / ATV / motorcycle Fuel usage Maintenance cost ‘Weather and other factors affecting the survey work. Regular quality assurance checks were also carried out by, ‘+ Repetition of equipment calibration. ‘© Carrying out random field checks to confirm the quality ofthe data collected. * Using available maps and satelite images to overlay the field data and check its accuracy (and that of the maps and satelite images). ncicaon of accumulated survey length fortis pari represents data fom 16172008, gath ra Grontmij | Carl Bro248, Reclassification of the Road Network and undertaking of a Road Page 14 Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report Data Proce: ing (Once the data was collected in the field it was downloaded from the GPS units onto the survey team laptop and sent to Nairobi by e-mail as attachments on a daily basis for editing and post- processing, Each team was provided with a laptop PC with a wireless GSM modem that could Connect tothe internet aas long as there was mobile telephone network services. The subsequent data processing activities which are beyond the scope of the Road and Bridge Inventory and Condition Surveys are described in the GIS Data Processing Manual, November 2009, the Road Inventory and Condition Database User Manual, November 2008, and the Ken BridgeMan 2008, gach Pa Grontmij | Carl Bro34 Reclassification of the Road Network and undertaking of a Road Page 15 Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report Road and Bridge Inventory and Condition Survey Fieldwork Road Inventory and condition survey ‘The RICS field surveys, Phase 2 of the project, included 71 districts, four major cities and 42 ‘municipalities. Although these surveys Nad been indicated as road Inventory and condition surveys it shall be emphasised that durin these surveys data were collected for roads as well as structures. However, structural data will be presented separately in section 3.2 below. The surveys in the Nakuru Pilot District were advanced to start during Phase 1. In conjunction with the surveys in the Nakuru Pilot District teams were diverted to Kiambu District due to adverse weather conditions, ‘The table below summarises the results of the pilot survey of Nakuru District: Table 3-1: Nakuru road network ‘Surveys. Length of Surface Type Total kn ‘RIGS 200 Paved Unpaved Rural classified network 643.5 1,182.8 1264 Total 1,826.4 DRICS 7005 Rural unciassifed network 75 5ae5S E508, Urban unclassified network 370 1.1096 1.2086 Total 7714 IGS 2008 ural classified network SOEs TED Bess Urban classed network 181.8 4.2027 1.3845 Total 2537.5 ‘The Consultant was able to commence work in earnest on the road inventories and condition surveys of the estimated 126,964 km unclassified roads in the remaining 69 districts, four major cities and 42 minor urban centres, from July 2007. Work continued steadily on this exercise from this date until the completion of the first round of surveys of all districts at the end of ‘October 2008. The Annex 2-5 shows progress planning and monitoring tables covering this period. However, as the surveys progressed it became clear that further survey units were required to increase survey capacity. The main build-up took place during the first 6 months Table 3-2: Survey team composition Reporting period ney vehicles ‘Suneyed Length" avers | Alteran | Motor eyes Thal composition (1575708), 40, TAT TMC Ok ‘May ~ September 2007 Sno, TAT TMC TEE38em ‘October = December 2007 no, BAW. aMG. 38.484 km, January — March 2008, no. 3ATV, ‘SMG. 61,872 km, ‘Apri — June 2008, To, DAT SMC, 82,246 km July = September 2008 Sno. 0. MC oagt8 km ‘October = March 2003" Sno. 0. TNC "99.965 km. ‘March —June 2009 2n0 o 0 703637 km) July - 23 July 2008 104,218 km Progress was planned and monitored as described in Chapter 2 above. An example is shown in Annex 2-5, * The length indicted as surveyed lena ste lengh recorded bythe data loggers, ie. prior to comecon for duplicate surveys, roads missing accorcng to the Discs and eding of overaps. The July 2008 road length cate the fl otected road length, The ination of accumulated survey length fr his period represents data rom 1601/2008, gata ra Grontmij | Carl BroReclassification ofthe Road Network and undertaking of a Road Page 16 inventory and Condition Survey ofthe Unciassified Roads Road and Bridge Inventory and Condition Survey Report ‘The first survey campaign was completed on 27" March 2009. As soon as survey data had been edited and preliminary maps printed, the maps were sent to the districts for verification of. the correctness of the surveys. When comments on this were received from the districts, the survey teams were remobilised to complete surveying. The last resurvey was completed on the 23° July 2009, ‘At the completion of the surveys 98,938 km of unclassified roads had been surveyed. In combination with the surveys performed in 2003-04, the road total length of the road network in the combined road database, RICS 2009 is 160,886. ‘As the number of districts to be surveyed reduced, teams were re-assigned to carry out follow- Up surveys on earlier surveyed districts, for which maps had been prepared and comments obtained from District Roads Engineers, to re-assess survey ‘missing links’ as described below. The follow up surveys were completed in June 2009. Table 3-3: National road network ‘Surveys = Length of Surface Type Total km ICS 2008 Paved Unpaved Rural classified network 8.358) 31222 3,580) Urban roads 322 1840 2.362 Total 61,947 TRICE 2008 Rural unclassified network 3 BEDE BET Urban unclassified network 1820) 3.568 10.188 Total 48 RIGS 2005 Rural classified network 05 735284 | 148,336 Urban classified network 2142, 10,408 72,550 ‘Total Road Network 760,886 ‘The discrepancies between the classified road network in 2004 and the same network in 2009 is due to changes arising after corrections of the 2004 data, e.g. removal of unclassified roads surveys, abandonment of realigned sections, overshoot errors, and duplicate survey lines. Of the 61,942 km classified road network 2,360 km of roads were within the municipal boundaries and thus basically urban roads. ‘The RICS2009 database contains all rural and urban roads with an estimated road reserve of not less than 9m, However, for Nakuru, Kiambu, Thika and Machakos districts, the database, contain roads with a road reserve of not less than 6 m, ‘The roads in the database have for rural and urban roads been classified in accordance with the approved classification guidelines. The records in the database contain inventory data as well as condition data. The all events table’ of the database for the rural dataset consist of 65,536 records. Printing of a complete set of data for the rural all events tables would thus require 3122 pages. Since these record are available in digital form they have not been printed ut for this report. Extracts from the RICS 2009 database have been presented in Annex 3-1 ‘An all events table for road inventory and condition has been printed for dataset which have been drawn from the RICS 2004 database, Annex 3-1-1, and from the URICS 2009 surveys, Annex 3-1-2. To present an overview of the entire reclassified road network a set of tabulations have been prepared forall districts and urban areas to tabulate all roads in all road classes in accordance ‘with their surface type: paved / unpaved. A sample table for Miwingi District showing the various pavement types for each of the roads in the district has been attached as Annex 3-1-3: Mwingi District, Pavement Types. * Recorés fora particular road or section of road for which all vets, features or parameters ae included, sath « Grontmij | Carl Bro32 3.3. Reclassification of the Road Network and undertaking of a Road Page 17 Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report Bridge Inventory and condition survey Bridge data have been surveyed on the unclassified road network mentioned in section 3.1 above as an integrated part of the URICS 2009 surveys. Refer Annex 2-3: Structure of RICS 2009 Road and Bridge Database. However, for the remaining part of the network, the classified network, surveys were undertaken in the RICS survays of 2004 Since the RICS surveys of 2004 included structural surveys at two levels of deta, the eventual bridge database consist of three sets of data. in the RICS 2004 surveys of the classified road network simplified dataset for structures have been surveyed forall classified roads. However, in 2003-04 detailed bridge inspections were carried out for 10 Districts and this data has also been included in the bridge management database The bridge management database is named Ken BridgeMan 2009 after the Ken BridgeMan partly developed in 2004, Extracts of data from the Ken BridgeMan 2009 database has been presented in Annex 3-2. ‘The structure and content of the Ken BridgeMan is indicated in 3-2-1 and 3-2-2. ‘The records in the Ken BridgeMan 2009 of the detailed structural inspection data from the Classified road network have been shown in Annex 3-2-3. The records in the Ken BridgeMan 2009 of the simplified structural data from the classified road network (2004 surveys) have been shown in Annex 3-2-4, which contain structural records for A2. The records in the Ken BridgeMan 2009 of the simpified structural data from the unclassified road network (2007-08 surveys) have been shown in Annex 3-2-5 which contain records for 02730 from 2004 as well a from 2009. To present the variety of data contained in the Ken BridgeMan 2008 the following Annexes have been attached + Annex 3-2 _ Ken BridgeMan 2009, extracts ‘= Annex 3-2-1 Ken BridgeNan, 2009 Main Tables # Annex 3-2-2 Ken BridgeMan, 2009 Data Dictionary ‘= Annex 3-2-3 Ken BridgeMan, Detailed Inspection Record ‘= Annex 3-2-4 Ken BridgeNan, Structures on AZ + Annex 3-2-5 Ken BridgeMan, Structures on P2730_Nairobi Progress Monitoring ‘The RIC Surveys were performed as surveys in Nakuru Pilot District during Phase 1 and as full ‘scale surveys in Phase 2. Phase 1 surveys in Nakuru were undertaken between 15" May 2007 ‘and 23° November 2007. Phase 2 surveys were undertaken during 27° July 2007 to 23° July 2008. Upon completion of the pilot district, the Consultant commenced the road inventories and condition surveys of the unclassified roads in the remaining 70 districts, four major cities and 42 ‘minor urban centres in July 2007. Work continued steadily on this exercise from this date until the completion ofthe first round of surveys of all districts by the end of October 2008. AAs the fieldwork proceeded, the progress of the field teams was regularly monitored and ‘compared with the planned output. Progress meetings were held with Kenya Roads Board on a fortnightly basis, during which the length of road surveyed was compared to the planned length to be surveyed. Progress reports were presented to the Steering Committee at monthly intervals, gath “« Grontmij | Carl BroReclassification of the Road Network and undertaking of a Road Page 18 inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report ‘The methodology of undertaking the survey and collecting data continued along the lines adopted in Phase 1. However, changes were made to the number and type of teams in the field {or the various reasons. ‘With the completion of surveys in densely populated rural areas as well as urban centres, the motorcycle and All Terrain Vehicle teams became less effective. These teams were therefore ‘withdrawn from the survey. Given that the majority of districts surveyed during the latter part of the survey were located in the more remote and sparsely populated areas of Kenya (generally inthe North and North- East) it was both more secure and practical to undertake these surveys by 4WVD vehicle. All seven 4WD vehicles were therefore assigned to these areas until the number of disticts Teduced suffcienty to enable one vehicle to be re-assigned to roughness surveys and, progressively, others to follow up on missing inks in completed districts AAs the number of districts to be surveyed reduced, teams were re-assigned to carry out follow- up surveys on earlier surveyed districts, for which maps had been prepared and comments obtained from District Roads Engineers, to re-assess classifications and survey ‘missing links’ as described below. Problems encountered during the surveys included: ‘+ The Trimble GPS equipment that the consultant was using to carry out the survey work, had an exceptionally high rate of failure at the beginning of Phase 2, with more than 50% failing to work after just a few weeks. As these items of equipment were not available locally, replacements had to be imported and this caused substantial delays. ‘The main cause of failures was found to be due to a batch of faulty batteries, but once this was realised the situation was corrected. + Diffcuties associated with forwarding survey data from remote districts to Nairobi for checking and data processing. Delays of two to three weoks were common, + Due to the extremely taxing and diffcult conditions of the unclassified roads, there were frequent breakdowns of vehicles and the motorcycles, causing delays. + Logistical problems associated with the surveys in the more remote districts. + Revisiting districts where the survey teams had been forced to withdraw earlier due to rains and impassable conditions (such as jara and Tana River). + Delays in visits to districts due to insecurity concems (such as Mount Elgon and West Poko!) ‘+ Difficulties in co-ordinating follow-up visits to districts to survey missing links due to delays in receiving comments on the preliminary mapping from adjoining districts. + The situation that developed in Kenya both prior to and after the General Election in December 2007 had an impact on the progress of the Consultant's work. The heightened tension during the campaign period before the elections, meant that the Consultant's staff had to avoid certain areas (such as parts of asin Gishu and Nyanza) where their security was not guaranteed, and on many occasions they could not put in a8 many hours per day as expected since they had to leave the field as early as 4 pm in the afternoon order to avoid getting back to their stations late, This reduced the working day to about 6 hours only ‘The consultant had planned to restart surveying work after a one week Christmas 2007 break on 02 January. Hawever most of the staff were unable to report back due to the lack of public transport and the security situation. It was not until 14 January that the first teams left to work in Central Province, and even then they were not fully mobilised until 17 January. This caused further delays to the project, gath « Grontmij | Carl BroReclassification of the Road Network and undertaking of a Road Page 19 Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report The contractor had avoided the problem areas until the situation retuned to normal This meant that they could not work in Nyanza and Western parts of Kenya as programmed, and had to relocate to Central, Eastemn and Coast Province where there was relative calm. Most of these areas (eg, the Districts Embu, Meru, ljara, Garissa, Tana River) were experiencing heavy rainfall at the time and progress was slow. Under normal circumstances the teams would have been working in Westen Kenya and Rift Valley which were dry at this time Even after the retur of calm, the survey work was made even more difficult due to the fact that security in the smaller towns was not guaranteed and the teams had to travel long distances to find safe accommodation Due to the above delays encountered, the consultant took several steps to mitigate the situation and improve the rate of survey progress. These steps included: + Increasing the number of survey 4WD vehicles to seven from the originally planned six + Purchasing spare sets of GPS instruments and backup batteries: ‘+ Improving the efficiency of vehicle repair and maintenance teams to reduce vehicle and motorcycle / ATV downtime; ‘+ Requesting a 10 months extension of time as described under the section on Phase 1 earlier in this document. Despite the above problems progress continued to be made steadily on the field surveys, enabling this element of the project to be substantially completed by the end of March 2008 with completion of field work by the end of July 2009. gath « Grontmij | Carl Bro4a. 42, Reclassification of the Road Network and undertaking of a Road Page 20 Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report RICS Findings RICS output by Districts ‘The field surveys covered 71 districts. The inventoried km lengths for each class in each district are shown in Annex 4-1. Road Condition is shown in Annex 4-2, Below is shown a summary of the classified rural and urban road network in table 4-1 and 4-2 respectively. Table 4-1: Kenya Classified Road Network, Rural Roads Now Claseos Rural roads Urban rds Oldcisss Lengthiim [A Bc Fg | total Classified Database | km km km km km km dm | hm A 3se7s| 35630 00 00 09 00 00 24a o2| 8 2een7| 44380 13970 00S 0st 73) © 7ass3| 1490 12080 62020 370 © 000050] 88 > so7s4] 00 410 20130 7.2770 7205 22010908350 E 255084] 00 100 6100 0010 146800 27800 25230) 10354 sP soaent] 00 00 00 $950 41300 26280 2524/57 Total si194.4] 5.1500 25460 99250 129100 195305 54260 6.107.1| 23508 Unclassified Surveyed All 50130] 20 40130 2880 70410 47000 76,1210] 10,1600 Total Reclassification 169,288.4] 5,158.0 25400 6380 13,7680 268808 10,1970 91,2081] 125488 Table 4-2: Kenya Classified Road Network, Urban Roads Now Classes: ‘Urban roads old Close Totaliongth [Hy ik L mM oN oe kn mm ke immo km 2) or ar 09 00 00 90 | 7a] 32 00 09 00 0044 Ce) tess] era 590 24 72 00 8s 18 5359/00 1600 3820 4700 «08 188 1oss4] a0 490 «72471858 «00s 738 sia7] 00 186913718803 oor wz zssea| sar 2007 13922 a7 0312231584 ‘Unclassified sorsoo| aro 1470768044130 20404320 __7,1820 Total Reclassification sosena| 37 427724562 47305 20435543 7.3981 Progress Tables, Maps and Charts ‘A progress chart presenting the cumulative total road length surveyed by the survey teams since the start of the RICS fieldwork plotted against the planned survey length has been attached as Annex 4-2. The chart is based on progress tables as presented in Annex 2-4 prepared weekly for each survey unit (vehicle, MC or ATV). These tables enabled follow up on the major issues in the survey programme such as decisions on relocation of teams, and logistical or other suppor to existing teams, gach ra Grontmij | Carl Bro43. 44. Reclassification of the Road Network and undertaking of a Road Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report Page 21 However, the daily communication with the teams by mail or mobile phone would constitute the basis for the close and immediate support of the field teams. In spite of the close support of the teams and rearrangement of the survey the production rate Of the survey units never reached the levels anticipated at the outset of the RIC Surveys, The production rates were ‘Survey Unit Production rato (kmiworking day] Pranned production Actual production “aD vehicle BO RMIGay 26 eiaay Motoreycie SO Kmiday 7a keday ‘Alvterain vehicle ao kmiday Ta enlday 1 The total length of unclassified roads surveyed to the end of project was 98,938 km, corresponding to 87% of the originally estimated 114,268 km. This volume of surveys fall within the range estimated by the TOR: 80,000 ~ 130,000. During the course of the project various estimates of survey length have been assessed. In section 4.4 is indicated the reasons for these variations. It is important to follow these shrinking road volumes and the explanation for these changes. This will also be explained in section 4.4. Challenges encountered during fieldwork surveys Progress on field surveys slipped behind the planned output, occasioned by reasons indicated below. + The difficulties associated with forwarding survey data from remote districts to Nairobi {for checking and data processing. Delays of two and up to three weeks were common ‘+ Logistical problems associated with the surveys in the more remote districts, ‘+ Revisiting districts where the survey teams had been forced to withdraw earlier due to and impassable conditions (such as ljara and Tana River) ‘+ Delays in visits to districts due to insecurity concerns (such as Mount Elgon and West Poko), ‘+ Adverse weather conditions compared with planning assumptions. + Delays in receipt of maps issued to the districts for review; between June and end of ‘September 2008, 68 district maps had been issued to the District Roads Engineers for comments, particularly on links missed out in the first survey. The number of maps returned by the end of February was 40. This slow response delayed field revisits for surveys of links pointed out in the retured maps. ‘+ Adjustment of the planning to accommodate the effect of the delays, Lesson learned Identification of Unclassified Roads The selection of unclassified roads subject to the RIC Surveys was subject to varying decisions during the survey period. The definition of “unclassified roads” was to be determined during the 7 The producion rate is an average for rural and urban surveys gach 4@ Grontmij | Carl BroReclassification of the Road Network and undertaking of a Road Page 22 Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report planning of the surveys. Intialy the definition of an unctassified road was selected as a ‘motorable road. During the surveys in the Nakuru District, the teams struggled fo survey roads that were hardly motorable, or were too narrow. An intermediate selection of 6 m Right-of-Way as a criterion for a road to qualify for RICS survey was adopted. Later it was decided that unclassified roads should have a ROW of basically 9 m which was considered the bare ‘minimum of road reserve for an engineered road. Thus some roads in Nakuru and Kiambu districts are not directly comparable to the roads of the other districts. It should also be considered that the use of a visual assessment of road reserve to determine inclusion or exclusion of roads in the surveys might be inaccurate and not reflecting the relative importance of the roads in the road network hierarchy. Its likely that local authorities in coming years will find that roads of importance have been left out. However, the Road and Bridge ‘databases and the road maps are tools well suited for further assessment of the completeness of the road network, Selection of Condition and Inventory Parameters The inventory and condition parameters of the 2004 RICS survey were essentially adopted to optimise the use of the previous survey data, The chosen condition parameters may be suited {or future monitoring of the road network whereas they may not fit into all RMS-systems applied by the road agencies. The technical note, data collection framework will suggest approaches for other selections of inventory and condition parameters. RICS findings Following the Pilot Project, there were several lessons learned: + The average rate of surveys was assumed to be 50 Km per day for 4WD cars and 30km per day for motorcycles when preparing the inception report for Phase 1. But it became apparent that this was not achievable and a rate of 40km and 20km per day for WD vehicles and motor cycles respectively was used to plan the surveys for the remainder of the country. + Itwas realised that the definition of an unclassified road was not very clear, and this led to the teams struggling to survey roads that were hardly motorable, or were too narrow. During the course of this phase, there was a redefinition of an unclassified road to include a minimum of 6m road reserve. ‘+ Inorder to carry out the IRI surveys, the RICS needed to be done first in order to map the location of the paved road network. It was therefore decided that it would be far more efficient if the RICS was carried out first, then a team dedicated to carrying out the IRI would follow at a later date. ‘+ Itwas found unnecessary to have a team dedicated to surveying the urban roads only as this tied up resources unnecessarily. Instead, it was found that both the 4WD vehicles and motorcycles could be used effectively to survey both rural and urban roads, gath « Grontmij | Carl BroReclassification of the Road Network and undertaking of a Road Page 23, Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report ANNEX 1 1-1 District Location Map 1-2 URICS Progress Chart - Completion gata ra Grontmij | Carl BroAnnex 1-4 REPUBLIC OF KENYA DISTRICT LOCATION MAP = Legend Yea Pre viswct District Boundary Provincial Boundary @ 5 Major Towns (Nairobi, Mombasa, Kisumu, Nekur, Eldoret) Seale: 14,450,000 Projected Coordinate System: WGS 1984 UTM Zone 375}URICS Field Work Progress Chart at Completion Annex 1-2 Proaress of URIGS Field Wark as of 140,000 ord Jul 2008 te0o00 |} inal Fanned Leng 126.986 Km | 120,000 | i 110,000 ‘Anticipated Length 19,600 Km lamang ee 100,000 ‘Length Surveyed (km) 2 72.06-2008 +2 2007-2008 |- 12-10-2008 07-12:2008 ——. 01-02-2000 01-08-2000 | 29-03-2000 24-05-2008 21-06-2008 18.07-2000 | — 16-08-2009 19002007 16002007 sas0.207 3022008 203.2008 003.208 £ 2.042000 & soszue z = 17-08-2008 14.08.2008 cot. 208 200 Asad Progress Chat. Completions 1504-2010é fa —~ Annex 2-1 NAKURU DISTRICT \ Page 1 of 2 ORIGINAL ROAD NETWORK \ } — Division Headquaters + otner LU D tates Paved National Park ———$ 0 _inpeves Natlonl Revere EAL_paved Dist Boundary eat_uemea — [C_] rowel soncery Envematona Boundaryi P a - “Annex 2-1 ( { _ NAKURU DISTRICT Page 2 of2 } [~ RECLASSIFIED ROAD NETWORK | [Sec tte enact canaryReclassification of the Road Network and undertaking of a Road Inventory ‘Annex 2-2 and Condition Survey of the Unclassified Roads Phase 2. Road Inventory and Condition Survey of the Unclassified Road Network. Page 1 of 4 Table Ad - 4 : Data Dictionary feature - ROAD ATTRIBUTES AND VALUES Feature Namo | Feature Type [Attribute | Attribute Value | Remark Road Tne InventDate | Date ‘Automatic RgNum Road Number if known RedName Road name if known SurType | Premix ~ ‘Surface Dressing Gravel Earth ‘Sand ‘Concrete JT Jointed concrete ‘Natural Unimproved road ‘Concrete BL Concrete Blocks Concrete REIN | Reinforced Concrete Brick Set Stone - Other Track ‘Unimproved Road wih Iyre racks visible Surtcond | Excellent Surface condition ‘Good Fai Poot Very Poor Under Construction Road_Usage | Busy Road with relatively heavy traffic ine. NWT Used Moderately used road Rare Rarely Used Numbanes| Number of anes Shoulder | Yes. Does the road have a shoulder ? No ShouldMat__| Paved ‘Type of shoulder material Unpaved Direction ‘OneWay Direction of Travel Two Way SpeedLT Speediimitif known Drainage Type | None Lined Unlined Covered Null Loe Drain | One Side Location of drains ifpresent Both Sides: DrainageCond | Good How wells the road drained? Fair Poot ‘Sweet Lighting | Yes is sireet ighting provided? R Reserve Road reserve as measured W there is 2 defined camiage width, how Road Width aes ‘Surveyor Name of surveyor logging data- Automatic CEN carer dReclassification of the Road Network and undertaking of a Road Inventory Annex 2-2 and Condition Survey of the Unclassified Roads Page 2 of 4 Phase 2. Road Inventory and Condition Survey of the Unclassified Road Network. Table A4 - 2 : Data Dictionary feature - BRIDGE ATTRIBUTES AND VALUES. Feature Type_| Attribute ‘Attribute Value Remark Point BridgeNo Bridge number if known BridgeName — | Bridge name ifknown, ‘StrucType Road ON Structure Is the road on bridge or under? Road UNDER Structure ‘SirucMat Concrete ‘Structure Material ~ Stee! Timber Masonry, Bailey ‘Composite GrossType Menu | Road ‘Crossing Type Pedestrian Railway ‘Waterwa Other ‘StrucLen ‘Structure length ‘Struciie ‘Structure width NoSpans ‘Number of spans HorGlear Horizontal clearance VerClear Vertical Clearance. ‘StrucCond Excellent Structure Condition ‘Good Fair Poor Very Poor DeckCond Menu | Excellent Deck Condition Good | Fair Poor Very Poor BNoLanes| Number of anes PhotoNum Photo number OOEN arbReclassification of the Road Network and undertaking of a Road Inventory Annex 2 - 2 and Condition Survey of the Unclassified Roads Page 3 of 4 Phase 2. Road Inventory and Condition Survey of the Unclassified Road Network Table Ad - 3: Data Dic VALUES, onary features - CULVERT, DRIFT AND RIVER ATTRIBUTES AND Feature Name_| Feature Type _| Attribute Attribute Value Remark ‘Culvert Point CulType Box Culvert Type. Pipe ‘Arch Other Lines Number of lines Culsize 300 | Culvert Size 450 600 300 1200 ‘Over 1200 ‘CulNat Menu Concrete Culvert Material ‘Armco Other ‘Unknown (CULCend Excellent Culvert Condition ‘Good: Fair Poor Very Poor CULFiow Excellent Culvert Flow Condition ‘Good Fair Poor Very Poor PhotoNum Photo number Drift Point DriftNum: ‘Drift number if known DrifName, Drift name if known NumberVentLines ‘Number of vent line if present DriftLen Drift ength Drinwie Drift width DriftCond Excellent Drift Condition ‘Good | Fair Poor Very Poor ‘DNumianes Number of lanes DScour ‘Yes Is scouting visible? No PhotoNum Photo number River Point Name Name if known (see note below) PhotoNum Photo number Note: This is the location of any river where the road ends,Reclassification of the Road Network and undertaking of a Road Inventory Annex 2-2 and Condition Survey of the Unclassified Roads Page 4 of 4 Phase 2. Road Inventory and Condition Survey of the Unciassified Road Network. Table A4 - 4: Data Dictionary features - TOWN, FACILITY, INSTITUTION, RAILWAY, MAINTENANCE PROBLEM AND PHOTOPOINT Feature Name_| Feature Type _| Attribute Attribute Value Romark Town Point ‘Thame Town Name ‘AdmStatus Prov Administrative Status DISTRICT HO [ i DIVISIONAL HQ. LOCATION HQ. Other 7 Type. City Type of town ‘Municipality Town Council Urban Council Major Market Local Market ‘Shopping Centre, Facility Point Name Facility Name PhotoNum Photo number Institution Point instName. Institution Name : PhotoNum Photo number Railway Point Lines. ‘Number of ines MaintProb Point ProbType Road Blockage Ifroad is not motorable Road Closed Surface Failure ‘Other Closure. ProbGause Debris on Road ‘Cause of Problem Landside _ Pavement Failure Road Washout ‘Other Road Problem Bridge Blocked Bridge Collapsed (Other Bridge Problem Encroachment ‘Overgrown Bush ‘Comment ‘Any other comment PhotoNum Photo number PhotoPnt | Point StanSer Starting photo number in the series | EndSer Last photo number in the series Note: This is for general photos in areas of interestReclassification of the Road Network and undertaking of a Road Inventory Structure of Roads and Bridge Database Annex 2-3 and Condition Survey of the Unclassified Roads Phase 1. Classification Study and RICS Pilot Project aa 8. Diaaram Roads OBJECTID COUNTER eee OBJECTIO COUNTER eae pei ronan = Rosen eee. eran atunricls STRUCTMAT Texto) ‘BoadNum Texte bene DOUBLE Shea tees Seat ne e, Seine fous itp ai Tee on Srnocrnor a aomaas ak aaa ae ohana HomZctear opsecrio COUNTER Os Sa Tete) ee Naseer cotete meabeaf a Sout eae eae Soo p> noasem —r aes ae Set aioe Sie Seer Tomes) || SNe, FOES om ass sromeee i Bae as ‘ewe sounte aa Ser" es elem trams EES aa erate) re i Seer aes FE cession Jol suneeecion CULVERTNUM INTEGER ieee RoadSurtaceciass oe mae sent couatttsucaion foe ee? eee =a See a ee pepe ae Sree Tues Gat eet errant — enero tenet pee aa cee par mado aso oo eee guusero counter 7 WERE Eee rete) Soule ae etn aca eae oe nasa y aa ag ee ieee coro eee a Heme EAB resatm one ceca eee cae Sumonines oouate RoaaTetaAAoT conk SEVEN Pte ree ee va ee Cane ae mess Geum rers9, ae pce aes nowcney Wreses Poa ite Ste ono4saer eee rasa a Fexray i ———— Weare Bro sorry prem exoAnnex 2-4 Condition Rating in RICS ‘Surface Condition (SurfCond) — A five-point scale is used for visual condition ratings on roads, bridges and appurtenances, plus an "Under construction’ code (0), as shown below: ‘Name Numeric Value Excellent Good Fair Poor Very Poor Under construction The following definitions provide a general description of the rating system: Excellent (1) - To receive an Excellent rating, the feature must be new or in like-new, well-maintained condition, and fully functional in all respects. Good (2) — A Good rating indicates that the feature is in nearly new condition, and only needs some minor ‘additional maintenance work, There should be no more than a 10 percent reduction in serviceability, functionality, or capacity of the feature, Fair (3) ~ A Fair rating indicates that the feature is exhibiting occasional signs of distress or damage that are ‘causing a noticeable reduction in serviceability, functionality, or capacity, in the order of 10 to 25 percent, Substantial additional maintenance or repair effort is required. Poor (4) ~ A Poor rating indicates that the feature is exhibiting frequent signs of distress or damage that is ‘causing a significant reduction in serviceability, functionality, or capacity, in the order of 26 to 60 percent. ‘Major maintenance or reconstruction effort is required to restore the feature. Very Poor (5) - A Very Poor rating indicates that more than 50 percent ofthe feature is beyond the point of restoration by routine maintenance and reconstruction or replacement is required. Under construction (0) ~ This rating is used for roads that are under construction and the new section is not yet available for road users. Note — For general guidance, “Excellent” refers to a road or road feature that is in “like new” condition and “Very Poor’ indicates a road or road feature that is just barely serving, or not serving, its intended purpose. Most roads are likely to fal within the "Good, “Fair” and "Poor" categories. Very few are expected to be in the “Excellent” catagory, unless recently built, and hopefully not many will be in the “Very Poor” category. ‘The rating should reflect the predominant condition over the section. A change in the surface congition that persists for more than about 0.2km will require the road section to be segmented. DREICS_Annex 2-4_Road Condtion Rating do: 1504/2010, 1Reclassification of the Road Network and undertaking of a Road Inventory Annex 2-5 and Condition Survey of the Unclassified Roads Phase 2. Road Inventory and Condition Survey of the Unclassified Road Network, Progress of RICS Field Works — Sample Tables PROGRESS OF ROAD INVENTORY AND CONDITION SURVEYING FIELDWORK PROGRESS TABLE, BARCHART AND GRAPHReclassification of the Road Network and 2-5 Progress of RICS Field Works - Sample Tables Undertaking of a Road Inventory and Condition Survey of the Unclassified Roads Kenya KENYA UNCLASSIFIED ROADS RICS PROJECT DATA COLLECTION PROGRESS REPORT TO END OF DECEMBER 2007 ‘Wort [Week [Date ona ‘SURVEY UNIT OUTPUT Completed Planned TAT TS MVEO]ATVT VE MGT MOT ATVE [WCET] WES |WCa a Totartar] Accum | Total ter | Accum e oH | 4 N week ‘week gon | tn) | em ga | wm | gm | gm | om a my em | am 7a soe a] Teal — aaa a2] 213 Tae oT si Boal Tar 10.06-2007 |] 17-9500 Tal ea] ae 24.05:2007 zr Tos] — 3.173 3-07-2007 3a reso] acral 08-07-2007 19 asa 5.033] 15072007 T053|—6 103} 2207-2007 tira] 7227] Zor-07 236] 0.080 95:06.2007 esa] ¥2.06-2007 S754 To.67] 25-06-2007 “aa 0206-2007 12369 09-06-2007. 13524 16.06.2007 5.162 23-06-2007, Ta 83 30:08:2007 8307 7-10-2007 20.58] 120.2007 F289 2-10-2007 3.21 28-10-2007, zea73| act 007 27213] T2007 25-70] 78-112007 0-28 75:11-2007 3104] 32-12:2007 s2.ee| 612-2007 sar 76.1720 35.057] 73:12200 3702] November Page 1/2 Kenya Roads Board Carl Bro als in association with Gath Consulting EngineersReclassification of the Road Network and 2-5 Progress of RICS Field Works — Sample Tables Undertaking of a Road Inventory and Condition Survey of the Unclassified Roads Kenya scan 2 SSE. er ees - Saas = : Bede Page 2/2 Kenya Roads Board Carl Bro als in association with Gath Consulting EngineersReclassification of the Road Network and undertaking of a Road Page 25 Inventory and Condition Survey of the Unclassified Roads Road and Bridge Inventory and Condition Survey Report ANNEX 3 3-1 RICS, 2009 database 3-1-1 All Events Table_RICS 3-1-2 All Events Table_URICS District, Pavement Types gath rd Grontmij | Carl BroRICS 2009 - All Events Data Files Annex 3-1-1 Page 1 of 4 R10 moss meas InventDate Raname ‘Surtype ‘SurtCond ‘shoulder ‘shouldMat Direction ‘orainage (Prainageco Street Lig 8 Time isnor icPs_pate lr: ‘9|0.cl0\0,0101[0|0|0/0| Road wiatn ronal nolo nla nl nan nan ols) alas vl no| nolan no|ro|NumLanes 2.2|019\0,010|0,0,9,0.0le.0\0\0,0.0.o|2.0lc0 olo\9}0/0]0/0 010/Sreett remix remix [Prem |Fair |Surace Dress Fai ‘Sure Dress Fair [Surtace Dress Fair Premx Fair MPCopy ot AL EVENTS. rot 3122RICS 2009 - All Events Data Files Annex 3-1-1 Page 2 of 4 | ] ] : i ip Po ogee £43 Ae pad & zi 2 yz i "| i 5 3 aig gos z Zé é dG a8 é a 5 5 5 #4 om a 4 Jat —_ | + Ba 5 a ag qi + a 4 ql = Bae | | 5 a at oe ERE 3 qa ata 3 1 ag 3 q sh | 3 we oy 3 +— a —| 3 “1— at = — a4 = 3 q {Para i 3 4 ag 4 > $+ +a — 3 ¢—— ——} a : 2| aah { ‘ol 0} 7 7 a4 -— 2| { a a a eas o| of 4 q aH a q ea TJ 3 — a | ql 7 a 7 3 4 + —| q q aL = 2 0, ‘ol-ol 2 ql af of [= q q a 5 4 4 — 3 q Ha = —| 2 9) o_o} a q oe ql ot 4 ab q Ct — 4 Hi = go ql 7 +3 2 — 9 a 4 a a q 3 +8 = Shas ea war ela Weamrn frr roe eth pera He copy oA. EVENTS ts: 18:102008 sorsRICS 2009 - All Events Data Files Annex 3-1-1 Page 3 of 4 lRoas_Usage. Irennaw [Municipal (oto_R10 IROADCLASS| 3.508 “7.155 2712 36.324 56.855; “70.301 71746) 97.352] 97.945) 7140.42) 740.946) 46) 142.191 146.528) 340.456) 153.540) 3.640} 169.308) 170.318, 171.9101 74425; 240.391 PrePPPrrrrerrreererePrrrrrrrrrerr 391] 249,886] 256.595, 256.785) 200.645, 258.495 "250.9541 302.725, 318 504) fll ECE OCI elelolelalalolalalalalalalalalalla aleve, z0ne > pp >>> >> eco of ALL EVENTS: 18102008 1562 01 3122RICS 2008 - All Events Data Files Annex 3-1-4 Page 4 of 4 al fl gz 3] | 3 A Hoa 3 , wl 3 5 8 dl fy glee) oo | HSD4| 5240, * —— ‘ans Nzoia | 6| 8 iat a 323.260) 940.069 rea Neots a8 — = - - Trans Nzoia | 68 iat la ‘West Potot | 65 iat = [West Potot | 6 iat ia ‘West Pokot | 41-5 iat a ‘West Pokot 41-5 iat a [West Porat | 45 iat ia (West Pokot | 6-5 las a [Mest Potot —|-6) 5} ‘al a —r est Poko 7s iat i [West Potot 5 ‘xt a ‘West Potot | 75 i im a | est Pokot | 7| 5) IAL A [West Pott 71a iat a West Pokot ‘o_3| [AY ‘A 448 910) 480.809 West Poke — [9-3 AA 450,800] 462183 [Turkana 93) iat a 162.153] 508 282 Turkana a3 iat a 500 20] 617.053, i —urkens | “9} 3] rang a 517 053) 520.935, Mukara 3|3[Undutatng| im 520:995| 532.508, Ti} s]Undutatrg a 11-3 a 10457618 929 ta) ix Jat | ora 929] 600.064 na) aa ae [A | 690.064) 691.746) ual - A [at 60.49) 7e0.470) a3) = a [a | reo 470) 705.048 —_——— as} Ta jai | 795.448 706.061 73 in [ar [7a a) oo.171 93 ia fat—[ee.1731 14.101 3 A [ar | ata tos) ase 081 —— 3 _— rn Jat | e008) se ao2 3 in jai [ese 402] a38.606| tai iA [at — [038s 89.724 3 Ix fatx_| 0.000] _ 1.005] = '6|Undulating | la [az | 000 7-16) i 2|Undulting Ix [a [7 t|sr'pee — 2[Unduatrs lA faz [sree 2[Unduaing | iA [aa —|- e200) 22.951 = 7|_8|Unduairg is [ao [304] 36-771 7|6 [Unda ams [az [136 774] 95.025 e17606SSF [URICS 77h July 7007 [Busy ‘Nao 01-0 Nain la Pop ALL EVENTS: 18403008 1963 013122Annex 3-1-2 RICS 2009 - All Events Data Files Page 4 of 2 1 7 dial dosisl a og} Sal gl s| of i g a5 3 & 7 % & F 35 : 8 z| 3 g ggg) 2 ge Fog He ey 7 og E 2 aizia| 4 _sla| § § &| &| ale a SS 3068 = File’ —* rvs wany | “ob” os St Stuea —" tremor iarreae [- Hike Two Wer | a “Stats — | eeeor ‘Ise Two Wer {a iol — fro? tine Teo way {of —+ at tlic — Har 323 thie es aetna et olehenayorjzazoar te Tins TwoWy| ON S| olchentel— ees aa0F 0 the fe Wer oho Stale soar ne iT fe war [—ohore 11a ‘aaa tke-_{—— Tee ier | one s 1.525] [No [Two Way ‘O|None ‘ol 4). inl the we Woy | eNone ata 2.507 No ‘Two Way | [None 6) 0} 28 ‘No hwo Way | —o|None—|———— 3] Soe ‘Ine fe Wor | —lNone———— aa Soe ite Two way | None Hr Sa ne reewae [overs] sa tora Tilke Two Wey ON . aa ctoH Ine Hw wey [onan aa 42: No [Two Way | O|None | 6 0 e2 ne ws way olan sta + zea Nowe Way | —olNone 3-0) ta aN wow | —oNere—| om Bias ine Two Wey | onion ies [Poa [el ai itis Tae War | $3 6.222) 2) 0} { oe ek O} 0} 2 ‘fie Two Way| [Oana ‘Bon sis rar | —{ ato Ne Has Way | olunies leon ses Far|—[—8-o 13 ‘se Two Way {Olu [eof sees Post [8-0 1338 = {Ine-|—— tee War [ot aa 2353 ie Tatar Stes toast 88 Sera TIN Taser {olan a0 ors ql ws way {luna leah sss [rar-]—[—s|-olereraet 4078) i He a|Unined “Both Sides [Poor | | 9) 0) tera 2 t q tH 3153] 2 I 9 a) tT | 6.131 a a a a] — ase — L + q = +| ae i +t 4 : a7) 3 i oe to Sosr 5 q q =| Sod == a 74 = Si i t a ql iP opra ALL EVENTS: 1:0 2009, 113 013122RICS 2009 - All Events Data Files Annex 3-1-2 Page 2 of 2 ata Data_Diet [Rond_Usage loisRIcT 'SOlL_Z0NE TERRAIN L0_RID ‘a1 “RIGS Trin Jy 2007 UURIGS 17th sty 2007 UURICS 17th July 2007 |URIGS 17h sty 2007 \ololo a CLTE_ZONE 'URICS 17th July 2007 ‘ries 27th August _ Panna TURICS 17th sty 2007 \URICS 17th dy 2007 \Uries 27th August 'URICS 47th July 2007 UURICS 17th uly 2007 |Ures 27th August |URICS 17th Jy 2007 'URICS 17th July 2007 ‘URICS 17h sly 2007 ‘Unies 27h August ~ ates 17 sy 2007 'URICS 17th sy 2007 \URICS 17th July 2007 "[URIGS 17h July 2007 {URICS 17th sty 2007 TURICS 17th July 2007 UURICS 17th sy 2007 JRICS 47th dy 2007 iy “TURICS 17th ay 2007 'URICS 47th sy 2007 |URICS T7th dy 2007 'URICS 47th July 2007 UURICS 17h sly 2007 TURICS 17 Juby 2007 UURICS 17 ay 2007 "ily ily ily Hilly Hilly ily — Unatiaing Hilly ily HHPcopyo ALL EVENTS; 19-102008, 3674 of 3122Annex 3-1-3 uring! District Pavement Type Toad Gass Tend] Fromm [Tok TuraceType [Length Abe 101. 965| 152373] —Surace bressing 0.134 AS 132143] 163.287] Prem sie as 163.67] 224360] —Surce Ores 137 eats Tard] azo crave 234 ¢ Tea 00a] 93.669] gravel sue e Yoato sae] 95.5 arth Zo 0 [paoi7 76.5 Tas forth 60d > Joaois 2.00 To100 forth Toii9 0 [ovors Tosio] 25.29] raver 379 3 Iosois 0743] 3.00 arth 3523 [oso 000] ——a3.saal Gravel a6 3 Joan Be 7. forth 7 0 Toaea0 7405] 736] Gravel 226i 3 fouaro nr saa rth aa 3 Ioaoat ‘o00| 32.94] “Gravel saa Doda Tio.o0e| ——isaaoi arth a7 ae OT 0.006] 70357] Gravel 20357 Yoaoae 70357] 46.909 forth 3655 0 Joaost .00 ea earth s6i5 = Teaoot 0.00 073] Gravel 3073 = Jeaoar 307 3351 rth 0279 = Jeaoae 1.00 03se] Grave 70.394 = —Traoos .00 1354 tarth 1356 = Teaoae .0d 7501 rth 1509 Teas 1.00 Tesi ferth Teas Eewo36 Tera] 243250 ath 76575 Tenor .0 13.04 fant 3.09 = Jraoae .00 123 ‘ath 1237 = Jeaoas 1229 6255] Gravel S003 leans 658 3a tarth 76.357 = Jenoss sai sae Track oq ee 00) Sate] 33.04 arth 0371 a 20) .00 1a31q| Gravel 72300 = feaoo 0.00 17729 tart 77739 Efenios 0.00 ass arth 2354 = Jentoz 1.00 ai tanh aan = Jentos .0d 505 earth 5.062 = Jenios 5057 73596] Gravel a2 = Jeaioa .000| 23.483] tart B55 €——Feaios coool 78735 arth 23.735 Feats coool aa. tart ar = leaior .000 3252] Gravel 3239 Ee Jeaio7 aso] 73383 tarth 75304 = ferioa 1.00 14.963 Gravel 12963 a 2500) oon] 23.219] Gravel 2.9 a 200) <.00 3278 tarth 325 Jennie 3275 8.024] Gravel 7.750 ¢ Jean coool 27354 tae 77358 Jennie cn ea fant 3545 leanne eas ai.see| Ratu Saal ¢ fea iad 1750 tart 39 feats ceo] 37323 forth ssa eles 1.0 13377|__Gravel 337 Page 1 of 15‘Muingi District Pavement Type Annex 3-1-3, Road Class Roadib From Km. To_Km Surface Type __[ Length (km) E lees 77| 2763] Earth 79.384 E feana5, ~0.000[ 11.673] Natural 11,67) E Jeans, i1671| 725.398] Earth 13.727 e ais 0.000] 13.636 Gravel 13.636 E lean36 13.6536) 22.668 Earth 9.033 E eat17 0.000] 20.065} Gravel 20.065) E ean17 20.065) 26.028] Earth 5.963) E leona 0.000] 6.700 Gravel 6.700] E fean19 0.000) 0.492] Earth 0.492) E feai19 0.492] 31.403] Gravel 30.951 E [E0120 0.000] 10.858) Gravel 10.858 E [e020 70.858 10873] Track 0.013) E fea120 10387 54.769) Earth 73.889) E lean 0.000) 10.7621 Gravel 10.762 E fean2a 10.762 31.714) Earth 20.953 E feanzz 0,000 34.289) Earth 34.288 E [E4123 0.000 3.052 Earth 8.052] E eai24 0.000] 4.659) Gravel 4658 E 4124 4.658] 6.170) Earth 1512] E eanaz 71.951] 72.032 Earth 0.081] E feanaz 14.968 36.734) Earth 1.766| E esis 19.082] 24.425) Earth 5.335) E [eazen 0.000 32.741 Gravel 7a E feaze1 12.741] 46.213] Earth 33.472 E [E4281 46.213] 47.403) Gravel 1.190] E feazen 47.403] 47.758] arth 0.355] E eazas 29.220) 29.889) Earth 0.665) E fea285 29.885) 45,363] Gravel 15.474 F F038 0.000] 9.229] Earth 9.229] F aoe 0.000 w.717] Gravel 2.717 F [Fa040 0.000] 6.264) arth 6.264] F aoa 0.000] 11.935) Earth 11.935] F [rane 0.000] 3.285) arth 8.285] F [Faoas 0.000] 2.624 Earth 2.624] F [Faoas 2.624 7.464 Natural 4.840 F Fa0aa 0.000] 5.751 Gravel 5751] F 4004 5.751 6.864 Earth 1113] F 400s 0.000] 2.633 Gravel 1.633] F Fa0as 1.633] 9.621] Earth 7.988] F 404s 9.621] 74.895 Gravel 5.275] F F046 0.000] 3.463] arth 3.463] F Faoa7 0.000] 6.28 Earth 6.184] F Faoa7 6.184] 25.106 Natural 78.962 F Fa0a7 25.146] 26,989 Earth 1.883] F Fa0ae 0.000] 20.318 Track 20.318] F Faoas 20.318] 28.025 Earth 7-708] E F409, 0.000] 9.021] Track 3.021] F aos 9.021] 21.754] Earth 72.733 F 4050. 0.000] 20.866] Earth 20.865| F [aos 0.000] 7.351 Track 7.381] E [a0se 0.000] 0.486 Earth 0.485] F [ra0s2 0.485] 33.483] Natural 32.997] F [raose 13.483 14.992] ‘Sand 1503] Page 2 of 15Annex 3-1-3 istrict Pavement Type Road Class Roadi From_Km. To_Km ‘Surface Type | Length (xm) E [Fa0s3 0.000] 7383 Earth 7389) F [Fa0s3 7.389] 71.580] ‘Natural 4.190] F [ra0s3 71.580) 19.642] Earth 3.063] F [Fa0e7, 4.089] 4386] Surface Dressing 0287] 6 [eansse7 0.000) 0.029] Natural 0.025] 6 [easses 0.000) 0.119] Earth 0.119) c [Gassa4 0.844 1.182] Earth 0339) G [ca5593 7.204] 7.42] Earth ‘2a Gc [ca5ses 5.045] 5.434) Earth 0390] 6 [easeaz 0.000] 2.253 Earth 2253] G [casea3 0.000] 1.403] arth 1.403 6 [easeas 0.000] 5.103] Earth 5.108] c [caseas. 0.000] 3.416 Earth 3.416 c [caseas 0.000} 8.128] Earth 3.128] Sc [casea7 0.000} 4.099] Earth 4.039] G [caseas 0.000 0.347] Earth 0.347 G [ca5e49 0.000 1313] Earth FETE] G [Gases 0,000] 2.493] Earth 2.493] c [cases 0.000 4.417] Earth 4ai7| G [ca5e52 0.000 0.196) Earth 0.196] G [eases 0.000 3.417] Earth 3.17] 6 [easess 0.009 0.680] Earth 0.680] c [case5s, 0.887] 0.368) Earth 0.08 G [cases 1.203] 1.410] Earth 0.208] G [casas7 0.009 3.265] Earth 3.265} 6 [casese 0.000 0.815] Earth 0.835] c [cases 0.000 B76) Earth B76 6 [645860 0.000 1.125] Earth i129] G [casei 0.000 4.200) Earth 4.200 G [ease 0.000] 0.369 Earth 0.369] c [ease63 10.000] 4.116] Earth 4.116 6 [casa6e 0.000] 2.498] Earth 2.499] 6 [casaes 0.000 1.559] Earth 1559] a [cass6s. 10.000] 1.874] Earth 2874] 6 [casee7 0.000 1.643] Earth 3.643] 6 [casaes 0.000] 5.523 Earth 5.523] 6 [case6s 0.000] 3.778 ‘Sand 9.778] & [ea5870 0.000] 2.968! Earth 2.968] 6 [ease72 0.000] 1.600] Earth 4.609] 6 [case72 0.000] 10.906 Earth 0.506 Gc [casera 0.000] 3.053] Earth 3.053] 6 [casera 0.009] 1.698) Earth 1.633] c [cass7s 0.009] 3.621 Earth 3.623] Gc [cass76 0.000 0677] Earth 0677] G [case77 0,000 1.432] Earth 1.432] a [cases 0.000 2.423] Earth 2.423] 6 [ease79 0.000 1.084] Earth 1.084] a [saseeo 0.000 3532] Earth 3.532] 6 [caseat 0,000 6.497] Earth 6.097] 6 [easae2 0.000 2472] Track 2.172] 6 [casae3 0.009 3775) Earth 4773 G [casaee 0.000 7377] Earth 7377] a [casees 0.000 057 arth 057 Page 3 of 15,ict Pavement Type Annex 3-1-3 Road Class Roadid From Km To_Km Surface Type | Length (km) 6 [easeae 0.000] 0774 Track 0.776 c [ca58a7 0.000] 1.076] Earth 1.076] 6 [easeas 0.000] 2.574 arth 72.574 Gg [easea9 0.000] 9.065 Earth 3.066 6 [645890 0.000] 2.108] Earth 2.105] c [easeo. 0.000] 2.753 Earth 2.753] S [easeoz 0.000] 0.875 Earth 0.875] a [e580 0.000] 6.769] Earth 6.769] c [easeoa 0.000) 2.752] Earth 2.753] c [ea5e95 0.000 6.679) Earth 6.673] 6 [ease95 0,000 2.443] Earth 2.488) c [eas8o7 0.000] 3.793 arth 3.793] 6 (eassos 0.000] 2.232 Earth 2.232| c [casao9 0.000] 2477 arth 2.477] 6 [ea5800 0.000] 4.180) arth 4.180] Gg [ea5901 0.000] 2.625) arth 1.525] 6 [645902 0.000] 1.321] arth 1321 ig [e45903 0.000] 0.313 Earth o313 c [ea590a 0.000] 6.461 Earth 6.461 Gc [G45905 0.000] 2.905] Earth 1.905] G [645906 0,009] 0.348] Earth 0.348] c [ca5907 0.000] 9.224 Earth 9224 C [645908 0.000] 2.733] Earth 2.733] c [e45909 0.000] 8.179 Earth 2.179] Gc [Gas910 0.000] 2.873 Earth 2.873] Gc [casoat 0.000] 1.836] Earth 1.836] G [easoa2 0.000] 6.219 Earth 6.219] G [eason3 0.000] 0.429] Earth 0.429] G [casons 0.429 0.5764 Natural 0.47] a [easaus 0.576] 19.397] Earth 78.821) c [casoua 0.000 6.212] Earth 6212] Sc [cases 0.000 1.497] Track 1.497] G [sasor6 0,000 3.712] Earth 3712] 6 [casoi6 3712 6.221] Track 2710) & [easou7 0.000 0.989) Track ‘0.938 G [casoi8 0.000 3.752] Earth 3.752] 6 [easei9 0.000] 0.565 arth 0.565 S [ea5s20 0.000] 0.581] arth 0.681 Gc [ca5o2a 0.000] 1127] Earth 1.127] Gc [Gassz2 0.000 1146] Natural 2.146] 6 [eass23 0.000] 3.861] Natural 3.861 G Icass24 0.000] 0.958 Earth 0.958 Gc [oaso2s 0.000] 9.963 Earth 9.963 G jGasez6 0.000] 0.785 Earth 0.785] S [ease27 0.000] 1.150] Premix 2.150] cS [cassze 0.000] 0.070 Earth 0.070] G [oassz9 0.000] 0.033 Earth 0.033 GS [eas30 0.000] 0.079 Earth 0.070] 6 [easea2 0.000] 0.103] Earth 0.103] 6 [eas932 0.000] 0.014 Earth ‘o.0%4| G [ca5033 0.000] 0.024 Premix 0.024] 6 [easoa4 0.000] 0.381] Earth 0.331] 6 [ease3s 0.000] 0.370] Premix 0.370] Page 4 of 15,Muwingi District Pavement Type Annex 3-1-3 Read Cass Radi From_km To_Km Surface Type | bength (en) ¢ [easaas (0370) ‘0507 Earth 0136) 6 ieassas 0.000 0.354] Earth 0354) G icas937 0.000) ‘o.07i] Gravel 0.074 6 [gassa7 ori 0.605 Natural 0.534 é c4s038 0.009 0.224 Natural 024 6 05939 0.000 0.075 Natural 0.075 6 [oas39 0.075] 0.133 Earth 0.058] S [eassao 0.000 0.060 Natural 0.060] 6 [casoen 0.000 0.667 arth 0.667] 6 [easeaz 0.000 0.5] arth 0.544] ¢ [casas 0.000 0.225] Earth 0:25] 6 [oasoaa 0.00] 0.11] arth oi c [casaee 11 0.388 Natural 0277) 6 [easoas, 0.000 oui] Earth 0.21 6 [easos 0.000 0.936 ath 0936) ¢ [cassar 0.000 0.52 Earth 0521 6 casoas 0.000 7.596 arth 1.696 6 [gassao 0.000 0.844 Earth 0.846] 6 [ca5950 0.000 0.745] Natural 0.745 6 [eases 0.000 0.392 Natural 0.392 6 [cassse 0.009 1174 Natural 11761 6 (easos3 0.000 0578 Natural 035761 6 cas950 0.000 1.449 Natural 1449 6 [casass 0.000 3.975 Natural 8975 fe cass 0.000 0.529] arth 0.529 6 [eases 0.000 ‘o.746] Natural 0-746) é (cases? 0.746 2.548] arth 0802 6 [eases 0.000 1.895 Natural 1895 6 cas959 0.00] 0.301 Natural 0301 ae 0.000 2.937 Gravel 2.937] 6 [sas96t 0.000 0.7] arth 0.482 6 [ease 0.009 7.90] Gravel 7.901 é [cases 0.00] 0.38] Gravel 0.395 6 Icasees, 0.395 2.293 arth 7.899 6 [cass6a 0.000 acai arth 4.48 6 [case aaa 4.682 Natural 0212 6 [oases 0.000 0.601 Gravel 0.603 ¢ [cesses 0.000) 114d Gravel 14] € leasee7 2.000) 2251] Earth 2.253 6 [cas0es 0.000 1.705} Earth 3.705] 6 jeass69 0.000 0.764 Natural 0-764] G [cas570 0.000 4.230 Natural 4.230 6 [eassri 0.000) 0326) Gravel 0326] 6 [casera 0.000 0.684 earth 0.84 6 [casera 0.684 1.807 Gravel 1.23 6 [oass73 0.000 0.409 arth 0.409 6 [cassra 0.000 2217] Earth 2217] 6 [caso7s, 0.000 3.108 Earth 3108] é [caso76 0.000 1.052 Earth 1.052 é [cass77 0.000 0.831 ‘Gravel 0831 é [cass7e 2.000 0.506 Natural 0.506 6 [sass7e 0.508 2.742 arth 2.236] 6 [sas979 0.000 L094 arth 1.084 Page 5 of 15,Annex 3-1-3 ‘Muwingi District Pavement Type Road class Roadib From_km To_Km ‘Surface Type | Length («mp c [ea5860 0.000] 0.402] Earth 0.403] c [easse0 0.402] 1.485] ‘Gravel 2.083] 6 [eassan 0.000] 0.862 Earth 0.863| 6 [casse2 2.000] 4.956 Earth 4.956] Gc [cases 0.009] 1.470 Earth 1.470] G [eassee 0.000] 0.215] Earth 0.235] 6 (eassas, 0,000 0.933] Earth 0.998] c [easoe6 0.000] 0.781 Earth 0.783] 6 [easse7 10.000 1.956| arth 1.956] G [cases 0.000] 2.163] Earth 2.163] 6 [cusses 0.000] 0.356) arth 0.956 qi [645990 0.000] 1.340] arth 1.949] Gc [easse1 0.000] 0.978] arth 0.978] G [ea5992 0.000] 2.123] Earth 2.122] Gc [eassas 0.000] 0.302] Earth 0.302] c [easaa 0.000] 1.354 Earth 1354) c [cas995 0.000] 2.493] Earth 2.493] 6 [ca5936 0,000) 1.428] Earth 1.428] Gc [cas9a7 0.000) 2371] Earth 2973] 6 [caseae 0.000] 5.485] Earth 5.485] c [c4s939 0.000 1.588] Earth 1.688 6 [c46000 0.000] 0.610 arth 0.610] ig [46001 0.000] 1.422] Earth 1.423] 6 [ea6002 0.000] 3.754] Earth 3.754] 6 [ea6003 0.000] 1346] Earth 1.346] c [ca6008 0.000] 4.531 Earth 4.633] 6 [ea600s 0.000] 2.919 Earth 3313] a [ca6006- 0.000] 1.525] Earth 1.623] 6 [46007 0.000] 1.955] Earth 1.955] 6 [c46008. 0.000] 0.607] Earth 0.607] 6 [ca6008 0.000] 1.565] Earth 1.565] 6 [ea6o10 0.000] 0.746 Earth 0.745 G [caso 0.000] 0.180] Earth 0.180] G [eaeo12 0.000] 1.632 Earth 1.632 G [e460 0.000] 5.155] Earth 5.155] Gc [Ga6oue 0.000] 0.350] Earth 0.350] 6 [casos 0.000) 0.425] Earth 0.425] G [cas016 0,000 0.314] Earth) 0314 Gc [cas017 0.000 0.200] Earth 0.209 6 [cagos 0.000 3.130] Earth 3.130] 6 [ea6019 0.000] 1.162] Earth 1.162| 6 [ea6020 0.000 2.126 Sand 2.126| Gc [ea6o21 0.000] 3.237] Earth 1.237| 6 [ea6o22 0.000] 0.684 Earth 0.684 6 [ea6o23 0.000 0.163 arth 0.163 c [saso2a 0.000] 0.734 Earth (0.734 6 [ea6o2s 0.000] 3.225 Earth 3.225| a (easo2s 3.225| 6.735 Track 33510] 6 [ea6o2s 0.000] 0.534 Earth 0.534 Gc [easo27 0.000] 1.624 Earth 1.624] G [sacozs 0.000] 1.854] arth 1.54] G [ea6023 0.000] 4.139 Earth 4.139] 6 [@a6030 0.000] 0.323] Earth 0.329) Page 6 of 15ict Pavement Type Annex 3-1-3 Road Class Roadid From km To_Km Surface Type vength (em) 6 [eae032 0.000] 4a Earth 1.488] Sc [ea6032 0.000] 1.149 Earth 1149] 6 [646033 0.000] 0.925] Earth 0.925] c [ca6034 0.000) 2.341] Earth 2341] Sc }ea035 0.000} 0.251] Earth 0.231] 6 [e46036- 0.000) 5.815 Earth 5.815 a [ca6037 0.000) 10.199] Earth 0.190] Gc [eaeo3e 2.000} 0.658] Earth 0.658] c [e46039 0.000} (0.903) Earth (0.904) 6 [easoa 0.000) 1.365] Set Stone 1.365] c [ca60aa 0.000 0.213] Earth 0233] G [ea6oa2 0.000 6651 Earth 6.653] Gc [ea6oas 0.000] 2.422] Earth 2.422] G [Ga6oas 0.000] 3.659) arth 3.659] G [ca60as 0.000] 4473 Earth 4473 Gc [ea6045 0.000] o.4r9 Earth oi] G [ca6o47 0.000] 0.460) Earth 0.460] Gc [ea6oas 0.000] 0.748] Earth 0.746 a [Ga6049 0.000] 0.268] Earth 0.268] G [646050 0.000 1.351] Earth 1351 Gc [Ga6ost 0,000 0.555 Earth 0.556] 6 [6a6052. 0.000 7.140 Earth 7.140] G [casos 0.000 0.727] Earth 0.727] 6 [cas0se 0.000 0.397] Earth 0397] g [ca6oss 0.000 1.583] Earth 1.583] 6 [sa60s6 0.000 4.779) Earth 4779 6 [ca6057 0.000 0.308] Earth 0308] 6 [sasoss 0,009 4.144] Earth 4144] 6 [ca6059 0.000 0.335] Earth 0335 6 [ca60s0 ‘0.000 0.675) Earth ‘0675 S [caso 0.000 3.396] Earth 3.998] c [casos 0.000] 0.210) Earth 0.230 S [cas063 0.000] 0.335 Earth 0.335 G [ea6o6a 0.000] 0.750) Earth 0.750] 6 [ea606s 0.000] 1.063] Earth 3.063] G [Ga6066 0.000] 0.288] arth 0.288] GS [ea6067 0.000] 1.637] ‘Sand 1.637| G [eas06s 0.000] 2.080] ‘Natural 2.080] 6 [cas069 0.000] 0.781] Natural 0.783] c [46070 0.000] 0.301] ‘Natural 0.30) g [caso71 0.000] 3.699] ‘Natural 5.599] c [caso72 0.009] 2.255| ‘Sand 2.255| G [caso72 2.255] 3.134] Natural 0.880] Gc [easo73 0.000] 3.955] Natural 3.955] a [easo7e 0.000] 2786| ‘Send 2.785| c [easo7s 0.000] 3.760] ‘Send 3.760 6 [Ga6076 0.000 1.025] Natural 1.025] 6 [ea6o77 0.000 1515] Natural 1515] S [caso7s 0.000 0.860) Natural 0.860] 6 [ea6079 0.000] 3.005] Send 3.005] a [c46079 3.008] 3.046) Natural 6.043] 6 [ea6080 0.000] 0.335) ‘Natural 0.335] 6 [casos 0.000] 0576 Earth 0576 Page 7 of 15,