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An exploratory study of spatial patterns of cycling in Tel Aviv using passively generated bike-sharing data

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  • Levy, Nadav
  • Golani, Chen
  • Ben-Elia, Eran

Abstract

Investments in bike-sharing and cycling infrastructures are justified for contributing towards more sustainable mobility in cities. Harvesting data from passive sources has important potential for better understanding the spatial patterns of human movements in urban areas including cycling. We explore data obtained from the Tel Aviv bike-sharing system and corresponding GTFS data, to understand the spatial patterns of cycling in the city and its relation to bus travel. Using a combination of transportation and geostatistical models including spatially adjusted regression, and all-or-nothing traffic assignment, we show that cycling movements are not well balanced and different behaviors are associated with the length of trips. Shorter trips are more concentrated in the city center and seem to complement bus travel. Longer trips are more focused on links with dedicated bicycle lanes and do not show strong correlations with bus travel, possibly indicating a weak substitution effect. The implications of data-driven studies for transport policy and spatial inquiries of urban mobility are further discussed.

Suggested Citation

  • Levy, Nadav & Golani, Chen & Ben-Elia, Eran, 2019. "An exploratory study of spatial patterns of cycling in Tel Aviv using passively generated bike-sharing data," Journal of Transport Geography, Elsevier, vol. 76(C), pages 325-334.
    • Handle: RePEc:eee:jotrge:v:76:y:2019:i:c:p:325-334
    DOI: 10.1016/j.jtrangeo.2017.10.005
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    References listed on IDEAS

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    2. Xiaojia Guo & Chengpeng Lu & Dongqi Sun & Yexin Gao & Bing Xue, 2021. "Comparison of Usage and Influencing Factors between Governmental Public Bicycles and Dockless Bicycles in Linfen City, China," Sustainability, MDPI, vol. 13(12), pages 1-14, June.
    3. Ross-Perez, Antonio & Walton, Neil & Pinto, Nuno, 2022. "Identifying trip purpose from a dockless bike-sharing system in Manchester," Journal of Transport Geography, Elsevier, vol. 99(C).
    4. Michel Noussan & Giovanni Carioni & Francesco Davide Sanvito & Emanuela Colombo, 2019. "Urban Mobility Demand Profiles: Time Series for Cars and Bike-Sharing Use as a Resource for Transport and Energy Modeling," Data, MDPI, vol. 4(3), pages 1-12, July.
    5. Xavier Bach & Carme Miralles-Guasch & Oriol Marquet, 2023. "Spatial Inequalities in Access to Micromobility Services: An Analysis of Moped-Style Scooter Sharing Systems in Barcelona," Sustainability, MDPI, vol. 15(3), pages 1-19, January.
    6. Akbari Majid & Zarghamfard Moslem & Hajisharifi Arezoo & Amir Entekhabi Shahram & Goodarzipour Sadrallah, 2022. "Modelling the Obstacles to using Bicycle Sharing Systems in the Tehran Metropolis: A Structural Analysis," Quaestiones Geographicae, Sciendo, vol. 41(2), pages 109-124, June.
    7. Morton, Craig & Kelley, Scott & Monsuur, Fredrik & Hui, Tianwen, 2021. "A spatial analysis of demand patterns on a bicycle sharing scheme: Evidence from London," Journal of Transport Geography, Elsevier, vol. 94(C).

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