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A Non-Linear And Interaction Effect Analysis Of Distance And Transport Accessibility On Bicycle Use: The Example Of The University Staff In Lyon (France)

Author

Listed:
  • Mehmet Güney CelbiÅŸ

    (Urban Planning Economics and Transport Laboratory – LAET-ENTPE, CNRS, University of Lyon, France and UNU-MERIT, Maastricht, The Netherlands)

  • Nathalie Havet

    (Urban Planning Economics and Transport Laboratory – LAET-ENTPE, CNRS, LSAF, University of Lyon, France)

  • Louafi Bouzouina

    (Urban Planning Economics and Transport Laboratory – LAET-ENTPE, CNRS, University of Lyon, France)

Abstract

This study explores the individual and spatial level determinants of the adoption cycling as a commuting mode by university staff members using data from Lyon, France (the MobiCampus-UdL survey). The empirical approach of the study is centered on the use of a gradient boosting machine prediction implemented using the XGBOOST framework, followed by the use of an interpretable machine learning method, namely Shapley Additive exPlanations (SHAP). We uncover various complex interactive and nonlinear relationships among model features and a binary outcome of being or not being a bike user for commuting. Our main findings suggest that policies designed towards broadening individual access to bicycles through ownership or sharing, in addition to the provision of shared cycle networks within 7 km of major employment centres can increase the adoption of cycling by commuters. Furthermore, among other results, we also observe that promoting regular teleworking among university staff, particularly for those who live at a distance more than 5 km of their place of work, could encourage commuting by bike. We also observe that cycling and public transport become complementary modes when home-work distances are greater that about 7 km.

Suggested Citation

  • Mehmet Güney CelbiÅŸ & Nathalie Havet & Louafi Bouzouina, 2023. "A Non-Linear And Interaction Effect Analysis Of Distance And Transport Accessibility On Bicycle Use: The Example Of The University Staff In Lyon (France)," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 17(2), pages 1-25, DECEMBER.
    • Handle: RePEc:rrs:journl:v:17:y:2023:i:2:p:1-25
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    References listed on IDEAS

    as
    1. Neves, Andre & Brand, Christian, 2019. "Assessing the potential for carbon emissions savings from replacing short car trips with walking and cycling using a mixed GPS-travel diary approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 123(C), pages 130-146.
    2. Friedman, Jerome H., 2002. "Stochastic gradient boosting," Computational Statistics & Data Analysis, Elsevier, vol. 38(4), pages 367-378, February.
    3. Hal R. Varian, 2014. "Big Data: New Tricks for Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 3-28, Spring.
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    Keywords

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    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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