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Expanding a(n) (electric) bicycle-sharing system to a new city: Prediction of demand with spatial regression and random forests

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  • Guidon, Sergio
  • Reck, Daniel J.
  • Axhausen, Kay

Abstract

Bicycle-sharing systems have experienced strong growth in the last two decades as part of a global trend that started in the 1990s and accelerated after 2005. Early bicycle-sharing systems were provided primarily as a public service by cities. Today, major international bicycle-sharing companies are emerging and seeking to expand their operations to new cities.

Suggested Citation

  • Guidon, Sergio & Reck, Daniel J. & Axhausen, Kay, 2020. "Expanding a(n) (electric) bicycle-sharing system to a new city: Prediction of demand with spatial regression and random forests," Journal of Transport Geography, Elsevier, vol. 84(C).
    • Handle: RePEc:eee:jotrge:v:84:y:2020:i:c:s0966692319307136
    DOI: 10.1016/j.jtrangeo.2020.102692
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Zwick, Felix & Axhausen, Kay W., 2022. "Ride-pooling demand prediction: A spatiotemporal assessment in Germany," Journal of Transport Geography, Elsevier, vol. 100(C).
    2. Wang, Xudong & Cheng, Zhanhong & Trépanier, Martin & Sun, Lijun, 2021. "Modeling bike-sharing demand using a regression model with spatially varying coefficients," Journal of Transport Geography, Elsevier, vol. 93(C).
    3. Kyoungok Kim, 2024. "Discovering spatiotemporal usage patterns of a bike-sharing system by type of pass: a case study from Seoul," Transportation, Springer, vol. 51(4), pages 1373-1407, August.
    4. Shuo Zhang & Li Chen & Yingzi Li, 2021. "Shared Bicycle Distribution Connected to Subway Line Considering Citizens’ Morning Peak Social Characteristics for Urban Low-Carbon Development," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    5. Duan, Yimeng & Zhang, Shen & Yu, Zhuoran, 2021. "Applying Bayesian spatio-temporal models to demand analysis of shared bicycle," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    6. Imhof, Sebastian & Blättler, Kevin, 2023. "Assessing spatial characteristics to predict DRT demand in rural Switzerland," Research in Transportation Economics, Elsevier, vol. 99(C).
    7. Yiling Deng & Pengjun Zhao, 2023. "The determinants of shared bike use in China," Transportation, Springer, vol. 50(1), pages 1-23, February.
    8. Mühlematter, Dominik J. & Wiedemann, Nina & Xin, Yanan & Raubal, Martin, 2024. "Spatially-aware station based car-sharing demand prediction," Journal of Transport Geography, Elsevier, vol. 114(C).

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