Nothing Special   »   [go: up one dir, main page]

Ospina et al., 2020 - Google Patents

Understanding cycling travel distance: The case of Medellin city (Colombia)

Ospina et al., 2020

View PDF
Document ID
2384995590913783187
Author
Ospina J
Botero-Fernández V
Duque J
Brussel M
Grigolon A
Publication year
Publication venue
Transportation research part D: transport and environment

External Links

Snippet

The relevance of cycling as a mode of transportation is increasingly being recognized in many cities around the world, and the city of Medellin (Colombia) is no exception. To better understand cycling travel behavior in Medellin, we perform a multiple regression to analyze …
Continue reading at repository.eafit.edu.co (PDF) (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/26Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network
    • G01C21/28Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network with correlation of data from several navigational instruments
    • G01C21/30Map- or contour-matching
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/26Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/3453Special cost functions, i.e. other than distance or default speed limit of road segments
    • G01C21/3492Special cost functions, i.e. other than distance or default speed limit of road segments employing speed data or traffic data, e.g. real-time or historical
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing
    • G08G1/0129Traffic data processing for creating historical data or processing based on historical data
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • G06Q30/02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
    • G06Q30/0202Market predictions or demand forecasting
    • G06Q30/0204Market segmentation
    • G06Q30/0205Location or geographical consideration
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/20Instruments for performing navigational calculations
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"

Similar Documents

Publication Publication Date Title
Ospina et al. Understanding cycling travel distance: The case of Medellin city (Colombia)
Mateo-Babiano et al. How does our natural and built environment affect the use of bicycle sharing?
Skov-Petersen et al. How do cyclists make their way?-A GPS-based revealed preference study in Copenhagen
CN112749825B (en) Method and device for predicting destination of vehicle
Wysling et al. Where to improve cycling infrastructure? Assessing bicycle suitability and bikeability with open data in the city of Paris
Tang et al. A mixed path size logit-based taxi customer-search model considering spatio-temporal factors in route choice
Poliziani et al. Categorizing three active cyclist typologies by exploring patterns on a multitude of GPS crowdsourced data attributes.
Vallejo-Borda et al. Do attitudes and perceptions help to explain cycling infrastructure quality of service?
Sobhani et al. Metropolis-Hasting based Expanded Path Size Logit model for cyclists’ route choice using GPS data
Veillette et al. Does one bicycle facility type fit all? Evaluating the stated usage of different types of bicycle facilities among cyclists in Quebec City, Canada
Lin et al. Bicycle ridership using crowdsourced data: Ordered probit model approach
Roy et al. Assessing the role of geographic context in transportation mode detection from GPS data
Alattar et al. Public participation geographic information system (PPGIS) as a method for active travel data acquisition
Filomena et al. Empirical characterisation of agents’ spatial behaviour in pedestrian movement simulation
Piras et al. Do psycho-attitudinal factors vary with individuals’ cycling frequency? A hybrid ordered modeling approach
Turner et al. Bicycle and pedestrian travel demand forecasting: Literature review
Meena et al. An evaluation of primary schools and its accessibility using GIS techniques: a case study of Prayagraj district, India
Lian et al. Advances in estimating pedestrian measures through artificial intelligence: From data sources, computer vision, video analytics to the prediction of crash frequency
Grond Route choice modeling of cyclists in Toronto
Steenberghen et al. Support study on data collection and analysis of active modes use and infrastructure in Europe
Xia Modelling the spatial-temporal movement of tourists
Wei et al. Data-driven energy and population estimation for real-time city-wide energy footprinting
Nag et al. How to develop the walking environment for its ‘consumers’? A conjoint answer derived from people's perception of link and network
Broach Travel mode choice framework incorporating realistic bike and walk routes
Liang et al. Towards walkability enhancement: A systematic review and future directions