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Does the built environment shape commuting? The case of Lyon (France)

Author

Listed:
  • Charles Raux

    (LAET - Laboratoire Aménagement Économie Transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Ayana Lamatkhanova

    (LAET - Laboratoire Aménagement Économie Transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Lény Grassot

    (LAET - Laboratoire Aménagement Économie Transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

Abstract

Is built environment the most influential factor on travel behavior when compared to individual socioeconomic characteristics? This paper extends the empirical knowledge by providing and comparing quantitative estimates of these various effects on both commuting distance and mode choice in a European city spatial context, while using up-to-date and novel methodology. Eight indicators of built and social environment are identified in order to characterize clusters of residential locations, giving a rich view of spatial and social diversity of locations. To disentangle the causal effects of residential self selection and built environment, both sample selection and specific matching preprocessing ("coarsened exact matching", a novel approach in the field) are implemented. Regarding commuting distance, the true effect of built and social environment appears modest with an increase in the range of 10-20%. It comes behind individual socioeconomic characteristics such as car availability and qualification. Regarding commuting mode choice, again the true effect of built and social environment is modest, with a nearly 20%pt increase of car share and around 10%pt decrease or public transport share for the most prominent effects, and it comes behind car availability. These results suggest the primary importance of influencing directly car use, if not car ownership, in the European context, while trying to modify the built environment would provide only limited results.

Suggested Citation

  • Charles Raux & Ayana Lamatkhanova & Lény Grassot, 2021. "Does the built environment shape commuting? The case of Lyon (France)," Post-Print halshs-03010833, HAL.
    • Handle: RePEc:hal:journl:halshs-03010833
    DOI: 10.4000/cybergeo.36629
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-03010833v2
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    as
    1. Mark R. Stevens, 2017. "Does Compact Development Make People Drive Less?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 83(1), pages 7-18, January.
    2. Cao, Xinyu (Jason) & Schoner, Jessica, 2014. "The influence of light rail transit on transit use: An exploration of station area residents along the Hiawatha line in Minneapolis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 134-143.
    3. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    4. Mokhtarian, Patricia L. & Cao, Xinyu, 2008. "Examining the impacts of residential self-selection on travel behavior: A focus on methodologies," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 204-228, March.
    5. Iacus, Stefano & King, Gary & Porro, Giuseppe, 2009. "cem: Software for Coarsened Exact Matching," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(i09).
    6. James Heckman & Justin L. Tobias & Edward Vytlacil, 2001. "Four Parameters of Interest in the Evaluation of Social Programs," Southern Economic Journal, John Wiley & Sons, vol. 68(2), pages 210-223, October.
    7. Schwanen, Tim & Mokhtarian, Patricia L., 2005. "What if You Live in the Wrong Neighborhood? The Impact of Residential Neighborhood Type Dissonance on Distance Traveled," University of California Transportation Center, Working Papers qt5hh713d6, University of California Transportation Center.
    8. Ettema, Dick & Nieuwenhuis, Roy, 2017. "Residential self-selection and travel behaviour: What are the effects of attitudes, reasons for location choice and the built environment?," Journal of Transport Geography, Elsevier, vol. 59(C), pages 146-155.
    9. Humphreys, John & Ahern, Aoife, 2019. "Is travel based residential self-selection a significant influence in modal choice and household location decisions?," Transport Policy, Elsevier, vol. 75(C), pages 150-160.
    10. Van Acker, Veronique & Witlox, Frank, 2010. "Car ownership as a mediating variable in car travel behaviour research using a structural equation modelling approach to identify its dual relationship," Journal of Transport Geography, Elsevier, vol. 18(1), pages 65-74.
    11. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2011. "Multivariate Matching Methods That Are Monotonic Imbalance Bounding," Journal of the American Statistical Association, American Statistical Association, vol. 106(493), pages 345-361.
    12. Salon, Deborah, 2015. "Heterogeneity in the relationship between the built environment and driving: Focus on neighborhood type and travel purpose," Research in Transportation Economics, Elsevier, vol. 52(C), pages 34-45.
    13. Donggen Wang & Tao Lin, 2019. "Built environment, travel behavior, and residential self-selection: a study based on panel data from Beijing, China," Transportation, Springer, vol. 46(1), pages 51-74, February.
    14. Hensher,David A. & Rose,John M. & Greene,William H., 2015. "Applied Choice Analysis," Cambridge Books, Cambridge University Press, number 9781107465923, January.
    15. James Heckman & Justin L. Tobias & Edward Vytlacil, 2001. "Four Parameters of Interest in the Evaluation of Social Programs," Southern Economic Journal, John Wiley & Sons, vol. 68(2), pages 210-223, October.
    16. Yusak Susilo & Kees Maat, 2007. "The influence of built environment to the trends in commuting journeys in the Netherlands," Transportation, Springer, vol. 34(5), pages 589-609, September.
    17. Scheiner, Joachim, 2010. "Interrelations between travel mode choice and trip distance: trends in Germany 1976–2002," Journal of Transport Geography, Elsevier, vol. 18(1), pages 75-84.
    18. Xinyu (Jason) Cao, 2009. "Disentangling the influence of neighborhood type and self-selection on driving behavior: an application of sample selection model," Transportation, Springer, vol. 36(2), pages 207-222, March.
    19. Ding, Chuan & Wang, Donggen & Liu, Chao & Zhang, Yi & Yang, Jiawen, 2017. "Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 65-80.
    20. Van Wee, Bert & Boarnet, Marlon, 2014. "Reaction to the paper Tempest in a Teapot: The exaggerated problem of transport-related residential self-selection as a source of error in empirical studies," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(3), pages 81-86.
    21. Xinyu Cao & Patricia Mokhtarian & Susan Handy, 2007. "Do changes in neighborhood characteristics lead to changes in travel behavior? A structural equations modeling approach," Transportation, Springer, vol. 34(5), pages 535-556, September.
    22. Mark R. Stevens, 2017. "Response to Commentaries on “Does Compact Development Make People Drive Less?”," Journal of the American Planning Association, Taylor & Francis Journals, vol. 83(2), pages 151-158, April.
    23. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2012. "Causal Inference without Balance Checking: Coarsened Exact Matching," Political Analysis, Cambridge University Press, vol. 20(1), pages 1-24, January.
    24. Silva, João de Abreu e, 2014. "Spatial self-selection in land-use–travel behavior interactions: accounting simultaneously for attitudes and socioeconomic characteristics," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(2), pages 63-84.
    25. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(3), pages 199-236, July.
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    Keywords

    Built environment; Commuting; Mode choice; Distance travelled; Lyon; France; Working Papers du LAET;
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