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The spatial spread of dockless bike-sharing programs among Chinese cities

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  • Han, Sun Sheng

Abstract

In a short period of three years from 2016 to 2018, the latest generation of dockless bike-sharing programs that originated in Beijing have gone through a roller coaster ride of boom to bust. While their spatial presence has been highly visible globally, the rationale, process and outcomes of the spatial spread as well as the strategies and agents behind the spatial diffusion have so far been unknown. This paper explores the geography of diffusion of dockless bike-sharing programs by analysing data collected from multiple sources. The findings reveal that the geography of diffusion was itself a business strategy for entrepreneurs to manage competition. Dockless bike-sharing fleets were placed selectively in cities worldwide by aggressive program operators supported by profit-hungry venture capital. The push by these supply-side agents in the diffusion process makes it unique from the diffusion studies which focused on users. An uneven landscape is discernible in the diffusion outcomes characterised by the clusters of similar cities where dockless bike-sharing programs are either present or absent, and the outlier clusters which are surrounded by dissimilar neighbours. The process through which an uneven landscape was developed presents two contrasting diffusion trajectories – from large to small cities vs from small to large cities.

Suggested Citation

  • Han, Sun Sheng, 2020. "The spatial spread of dockless bike-sharing programs among Chinese cities," Journal of Transport Geography, Elsevier, vol. 86(C).
    • Handle: RePEc:eee:jotrge:v:86:y:2020:i:c:s0966692319311020
    DOI: 10.1016/j.jtrangeo.2020.102782
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    References listed on IDEAS

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    1. Sun Sheng Han, 2005. "Polycentric Urban Development and Spatial Clustering of Condominium Property Values: Singapore in the 1990s," Environment and Planning A, , vol. 37(3), pages 463-481, March.
    2. Gu, Tianqi & Kim, Inhi & Currie, Graham, 2019. "To be or not to be dockless: Empirical analysis of dockless bikeshare development in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 122-147.
    3. Mingyang Du & Lin Cheng, 2018. "Better Understanding the Characteristics and Influential Factors of Different Travel Patterns in Free-Floating Bike Sharing: Evidence from Nanjing, China," Sustainability, MDPI, vol. 10(4), pages 1-14, April.
    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. Lin Jia & Xin Liu & Yaqian Liu, 2018. "Impact of Different Stakeholders of Bike-Sharing Industry on Users’ Intention of Civilized Use of Bike-Sharing," Sustainability, MDPI, vol. 10(5), pages 1-26, May.
    6. Wang, Kailai & Akar, Gulsah, 2019. "Gender gap generators for bike share ridership: Evidence from Citi Bike system in New York City," Journal of Transport Geography, Elsevier, vol. 76(C), pages 1-9.
    7. Elliot Fishman, 2016. "Bikeshare: A Review of Recent Literature," Transport Reviews, Taylor & Francis Journals, vol. 36(1), pages 92-113, January.
    8. Rui Baptista, 1999. "The Diffusion of Process Innovations: A Selective Review," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 6(1), pages 107-129.
    9. Jian-gang Shi & Hongyun Si & Guangdong Wu & Yangyue Su & Jing Lan, 2018. "Critical Factors to Achieve Dockless Bike-Sharing Sustainability in China: A Stakeholder-Oriented Network Perspective," Sustainability, MDPI, vol. 10(6), pages 1-16, June.
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    2. Hu, Songhua & Chen, Mingyang & Jiang, Yuan & Sun, Wei & Xiong, Chenfeng, 2022. "Examining factors associated with bike-and-ride (BnR) activities around metro stations in large-scale dockless bikesharing systems," Journal of Transport Geography, Elsevier, vol. 98(C).
    3. Chen, Wendong & Chen, Xuewu & Cheng, Long & Liu, Xize & Chen, Jingxu, 2022. "Delineating borders of urban activity zones with free-floating bike sharing spatial interaction network," Journal of Transport Geography, Elsevier, vol. 104(C).
    4. Zhao, Chunkai & Wang, Yuhang & Ge, Zhenyu, 2023. "Is digital finance environmentally friendly in China? Evidence from shared-bike trips," Transport Policy, Elsevier, vol. 138(C), pages 129-143.
    5. Sweet, Matthias N. & Scott, Darren M., 2021. "Shared mobility adoption from 2016 to 2018 in the Greater Toronto and Hamilton Area: Demographic or geographic diffusion?," Journal of Transport Geography, Elsevier, vol. 96(C).
    6. Huo, Jinghai & Yang, Hongtai & Li, Chaojing & Zheng, Rong & Yang, Linchuan & Wen, Yi, 2021. "Influence of the built environment on E-scooter sharing ridership: A tale of five cities," Journal of Transport Geography, Elsevier, vol. 93(C).

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