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The Role of Bike Sharing in Promoting Transport Resilience

Author

Listed:
  • Lu Cheng

    (University College London)

  • Zhifu Mi

    (University College London)

  • D’Maris Coffman

    (University College London)

  • Jing Meng

    (University College London)

  • Dining Liu

    (University College London)

  • Dongfeng Chang

    (Shandong University)

Abstract

A resilient transport network, which is significant for urban sustainability and security, is characterized by its ability to recover from disruptions subject to natural and man-made disasters. Bike sharing could act as a viable alternative in the case of public transit disruptions given its flexibility and various social, environmental, and economic benefits. This study aims to estimate quantitatively the potential of bike sharing to promote transport resilience, by using autoregressive negative binomial time series model to investigate the effects of public transit closures on bike sharing demand in Washington, D.C. area during 2015–2017. We find that (1) bike sharing can act as a supplementary mode to enhance urban transport resilience in the case of complete transit closure; (2) the proximity of bike sharing docks to metro stations has a powerful effect on propensity to use a bike sharing program; and (3) extreme weather is one of major barriers to bicycling. Planners can enhance resilience of urban transport networks by fully considering the capacity and usage of bike sharing docks, as well as the coherence of metro stations and bike sharing docks, in distributing and rebalancing activities.

Suggested Citation

  • Lu Cheng & Zhifu Mi & D’Maris Coffman & Jing Meng & Dining Liu & Dongfeng Chang, 2022. "The Role of Bike Sharing in Promoting Transport Resilience," Networks and Spatial Economics, Springer, vol. 22(3), pages 567-585, September.
  • Handle: RePEc:kap:netspa:v:22:y:2022:i:3:d:10.1007_s11067-021-09518-9
    DOI: 10.1007/s11067-021-09518-9
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    References listed on IDEAS

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    1. Marsden, Greg & Docherty, Iain, 2013. "Insights on disruptions as opportunities for transport policy change," Transportation Research Part A: Policy and Practice, Elsevier, vol. 51(C), pages 46-55.
    2. Sisi Jian & David Rey & Vinayak Dixit, 2019. "An Integrated Supply-Demand Approach to Solving Optimal Relocations in Station-Based Carsharing Systems," Networks and Spatial Economics, Springer, vol. 19(2), pages 611-632, June.
    3. Brons, Martijn & Givoni, Moshe & Rietveld, Piet, 2009. "Access to railway stations and its potential in increasing rail use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(2), pages 136-149, February.
    4. Zhang, Yongping & Mi, Zhifu, 2018. "Environmental benefits of bike sharing: A big data-based analysis," Applied Energy, Elsevier, vol. 220(C), pages 296-301.
    5. Zhifu Mi & D’Maris Coffman, 2019. "The sharing economy promotes sustainable societies," Nature Communications, Nature, vol. 10(1), pages 1-3, December.
    6. Elliot Fishman, 2016. "Bikeshare: A Review of Recent Literature," Transport Reviews, Taylor & Francis Journals, vol. 36(1), pages 92-113, January.
    7. Saberi, Meead & Ghamami, Mehrnaz & Gu, Yi & Shojaei, Mohammad Hossein (Sam) & Fishman, Elliot, 2018. "Understanding the impacts of a public transit disruption on bicycle sharing mobility patterns: A case of Tube strike in London," Journal of Transport Geography, Elsevier, vol. 66(C), pages 154-166.
    8. Tilahun, Nebiyou & Thakuriah, Piyushimita (Vonu) & Li, Moyin & Keita, Yaye, 2016. "Transit use and the work commute: Analyzing the role of last mile issues," Journal of Transport Geography, Elsevier, vol. 54(C), pages 359-368.
    9. Darayi, Mohamad & Barker, Kash & Nicholson, Charles D., 2019. "A multi-industry economic impact perspective on adaptive capacity planning in a freight transportation network," International Journal of Production Economics, Elsevier, vol. 208(C), pages 356-368.
    10. Younes, Hannah & Nasri, Arefeh & Baiocchi, Giovanni & Zhang, Lei, 2019. "How transit service closures influence bikesharing demand; lessons learned from SafeTrack project in Washington, D.C. metropolitan area," Journal of Transport Geography, Elsevier, vol. 76(C), pages 83-92.
    11. Jie Bao & Chengcheng Xu & Pan Liu & Wei Wang, 2017. "Exploring Bikesharing Travel Patterns and Trip Purposes Using Smart Card Data and Online Point of Interests," Networks and Spatial Economics, Springer, vol. 17(4), pages 1231-1253, December.
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    Cited by:

    1. Zhang, Xiang & Li, Wence, 2023. "Effects of a bike sharing system and COVID-19 on low-carbon traffic modal shift and emission reduction," Transport Policy, Elsevier, vol. 132(C), pages 42-64.

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