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Exploring the production of spatial inequality in dockless bicycle sharing in Shenzhen

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  • Zhou, Zhaoqi
  • Schwanen, Tim

Abstract

There have been rising concerns over the unequal geographical distribution of bicycle sharing services in cities. Previous research on inequalities of urban bikeshare has often focused on quantitatively mapping inequalities with big data from travel records. It has thus been unable to examine the causes, reproduction mechanisms, and consequences of observed spatial inequalities in detail. Using the case of Shenzhen, a Chinese megacity with strong governmental control on mobility and a historical legacy of urban segregation, this study aims to achieve a nuanced understanding of the mechanism through which operators, regulators, and users of dockless bicycle sharing interact to produce and reproduce inequalities in accessing and using the service. To achieve this, this study adopts a mixed-method approach consisting of GIS mapping analysis, survey, and interviews with cyclists and experts. The result shows that both the use frequency and perceived accessibility of dockless bicycles are higher in wealthier and more central neighbourhoods. Moreover, strong governmental regulation in the form of a designated parking system, fleet quota distribution and point-based service evaluation have reproduced and enhanced spatial inequalities in dockless bicycle use and access. The findings contribute to the literature by demonstrating how preexisting urban infrastructure and certain regulatory arrangements interact to form a reproduction cycle of inequalities in accessing and using dockless bicycles that favours more central and well-off neighbourhoods at the expense of marginalized communities in Shenzhen.

Suggested Citation

  • Zhou, Zhaoqi & Schwanen, Tim, 2024. "Exploring the production of spatial inequality in dockless bicycle sharing in Shenzhen," Journal of Transport Geography, Elsevier, vol. 119(C).
  • Handle: RePEc:eee:jotrge:v:119:y:2024:i:c:s0966692324001649
    DOI: 10.1016/j.jtrangeo.2024.103955
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