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

Skip to main content

A Land Use and Transport Interaction Model for the Greater Florence Metropolitan Area

  • Conference paper
  • First Online:
Computational Science and Its Applications – ICCSA 2019 (ICCSA 2019)

Abstract

The paper presents the first results of the LUTI model built to analyse territorial impact of future project in the area around Florence, starting from the province of Pistoia, and arriving to Florence throw Prato province. The works is made of two main steps: the first one is the collection, homogenization and comparison of actual most important planned measures at different scale, from the single involved municipalities to the Tuscany Regional Plan.

The second main step is the construction of a LUTI model to evaluate different evolution scenario joining complementary infrastructure and territorial evolution measures. The obtained results show the importance of the LUTI model to support territorial planning at a multidisciplinary level.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    For instance, also the new Tuscany Regional Urban Planning law on territorial governance, L.R.41/2018, does not never mention the word ‘mobility’.

References

  1. ISFORT-Superior Institute of Teaching and Researching on Transport, 2018: 15° Report on Italian mobility

    Google Scholar 

  2. Chinellato, M., Staelens, P., Wennberg, H., Sundberg, R., Bohler, S., Brand, L., Adams, R., Dragutescu, A.: Sumps-Up-Users’ needs analysis on SUMP take up. European programme for accelerating the take-up of sustainable urban mobility plans, deliverable 1, 2 (2017)

    Google Scholar 

  3. European Commission 2007: Sustainable Urban Transport Plans - Preparatory Document in relation to the follow-up of the Thematic Strategy on the Urban Environment, Annex, 25 September 2007, Source. http://ec.europa.eu/environment/urban/pdf/transport/2007_sutp_annex.pdf

  4. European Commission 2009: Action Plan on Urban Mobility COM, 490/5 (2009). Source. http://ec.europa.eu/transport/themes/urban/urban_mobility/action_plan_en.htm

  5. European Commission 2011: WHITE PAPER. Roadmap to a Single European Transport Area – Towards a competitive and resource efficient transport system. COM (2011). 144 final. Source: http://ec.europa.eu/transport/themes/strategies/2011_white_paper_en.htm

  6. Oliva Garcia, C.R., Feijòo, C., Aggarwal, S.: D2.3 Review of Urban Models: Use in Urban Policy, European project Insight (2014)

    Google Scholar 

  7. Ransford, A.A., Silva, E.: Land use-transport interaction modeling: a review of the literature and future research directions. J. Transp. Land Use (2014)

    Google Scholar 

  8. Iacono, M., Levinson D., El-Genheidi A.: Models of transportation and land use change: a guide to the territory (2010)

    Google Scholar 

  9. Rosenbaum, A.S., Koenig, B.E.: Evaluation of Modeling Tools for Assessing lan use policies and strategies, Office of Mobile Sources U.S. Environmental Protection Agency (1997)

    Google Scholar 

  10. Lombardo, S., Petri, M.: The simulation of spatial change: what relation between knowledge and modeling? A proposal and its application. In: Albeverio, S., Andrey, D., Giordano, P., Vancheri, A. (eds.) The Dynamics of Complex Urban Systems. An Interdisciplinary Approach. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-7908-1937-3_16

    Chapter  Google Scholar 

  11. Lapucci, A., Lombardo, S., Petri, M., Rotonda, M.: A participative multi agent system for urban sustainable mobility. In: Murgante, B., Borruso, G., Lapucci, A. (eds.) Geocomputation and Urban Planning a cura di Borruso. Murgante e Lapucci. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-540-89930-3_15. ISBN 978-3-540-89929-7

    Chapter  Google Scholar 

  12. Wilson, A.G., Bennett, R.J.: Mathematical Methods in Human Geography and Planning. John Wiley and Sons, Chichester (1985)

    Google Scholar 

  13. Waddell, P.: Building an integrated model: some guidance. In: Presented at, TRB workshop 162 on integrated land use-transport models, Washington, D.C. (2005)

    Google Scholar 

  14. Wegener, M.: Overview OD land-use transport models. In: Hensher, D.A., Button, K. (eds.) Transport Geography and Spatial Systems, Handbook 5 of the Handbook in Transport, pp. 127–146. Pergamon/Elsevier Science, Kidlington (2004)

    Chapter  Google Scholar 

  15. Alonso, W.: Location and Land Use, Towards a General Theory of Land Use. Harward University Press, Cambridge (1964). ISBM 9780674730854

    Book  Google Scholar 

  16. Ross, S., Morgan, J., Heelas, R.: Essential AS Geography, Nelson Thornes Ltd (2000). ISBN-10: 0748751750

    Google Scholar 

  17. Martínez, F., Donoso, P.: MUSSA: a behavioural land use equilibrium model with location externalities, planning regulations and pricing policies, University of Chile (2006)

    Google Scholar 

  18. Martínez, F., Aguila, F., Hurtubia, R.: The constrained multinomial logit: A semi-compensatory choice model. University of Chile, Santiago, Chile (2009)

    Google Scholar 

  19. Martínez, F.J.: MUSSA: A Land Use Model for Santiago City. Transportation Research Record 1552: Transportation Planning and Land Use at State, Regional and Local Levels, pp. 126–134 (1996)

    Google Scholar 

  20. Martínez, F.J.: The bid-choice land use model: an integrated economic framework. Environ. Plann. A. 24, 871–885 (1992)

    Article  Google Scholar 

  21. Pratelli, A., Petri, M., Ierpi, M., Di Matteo, M.: Integration of Bluetooth, vechicle count data and transport model results by means of Datamining Techniques. The application to the regional highway S.G.C.Fi-Pi-Li linking Florence to Leghorn and Pisa. In: 2017 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC), 12–15 June 2018. Palermo (2018)

    Google Scholar 

  22. Petri, M., Frosolini, M, Pratelli, A., Lupi, M.: ITS to change behaviour: a focus about bike mobility monitoring and incentive—The SaveMyBike system. In: IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) (2016). https://doi.org/10.1109/eeeic.2016.7555463. ISBN: 978-1-5090-2321-9

  23. Petri, M., Fusco, G., Pratelli, A.: A new data-driven approach to forecast freight transport demand. In: Murgante, B., et al. (eds.) ICCSA 2014. LNCS, vol. 8582, pp. 401–416. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-09147-1_29

    Chapter  Google Scholar 

  24. Petri, M., Pratelli, A., Fusco, G.: Data mining and big freight transport database analysis and forecasting capabilities. Trans. Marit. Sci. 5(2), 99–110 (2016)

    Article  Google Scholar 

  25. Bierlaire, M.: BIOGEME: a free package for the estimation of discrete choice models. In: Proceedings of the 3rd Swiss Transportation Research Conference. Ascona, Switzerland (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Massimiliano Petri .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Petri, M., Pratelli, A., Barè, G., Piccini, L. (2019). A Land Use and Transport Interaction Model for the Greater Florence Metropolitan Area. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11620. Springer, Cham. https://doi.org/10.1007/978-3-030-24296-1_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-24296-1_20

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24295-4

  • Online ISBN: 978-3-030-24296-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics