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Exploring the Impacts of COVID-19 and Lockdown on Online Car-Hailing Travel in Shanghai

Author

Listed:
  • Yixuan Zhou

    (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Shanghai 201804, China
    College of Transportation Engineering, Tongji University, Shanghai 201804, China)

  • Lei Zhang

    (College of Transportation Engineering, Tongji University, Shanghai 201804, China
    Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai 201210, China)

  • Qian Xu

    (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Shanghai 201804, China
    College of Transportation Engineering, Tongji University, Shanghai 201804, China)

  • Yixiao Liu

    (College of Transportation Engineering, Tongji University, Shanghai 201804, China
    Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai 201210, China)

  • Yuxin Zhang

    (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Shanghai 201804, China
    College of Transportation Engineering, Tongji University, Shanghai 201804, China)

  • Xiaoyong Wang

    (College of Transportation Engineering, Tongji University, Shanghai 201804, China
    CASCO Signal Ltd., Shanghai 200071, China)

Abstract

The COVID-19 pandemic and lockdown have caused serious impacts on people’s lives, especially on daily travel like online car-hailing. Understanding the impacts of the pandemic on online car-hailing travel is essential for sustainable urban planning and governance, especially during public health emergencies including COVID-19. However, few studies have delved into the in-depth patterns and interpretations of crowd behaviors and mobility variations resulting from the lockdown, especially from different perspectives. This study attempts to make contributions to this gap by building a three-step method from a macroscopic to mesoscopic perspective. A dataset of online car-hailing trajectories for 15 days in 2018 and 3 special days (before and after the lockdown) in 2022 was used. Detailed analyses of the overall spatiotemporal patterns, the flows between administrative districts, and the four-perspective investigation in the central urban area were conducted. The main findings include a dramatic plunge in ride counts for online car-hailing due to the lockdown and a significant change in human mobility associated with hospitals and traffic hubs. Our study provides insights into the understanding of impacts of COVID-19 and lockdown and hopefully helps with the resilience and sustainability of the city. The workflow might also be inspiring for further studies.

Suggested Citation

  • Yixuan Zhou & Lei Zhang & Qian Xu & Yixiao Liu & Yuxin Zhang & Xiaoyong Wang, 2023. "Exploring the Impacts of COVID-19 and Lockdown on Online Car-Hailing Travel in Shanghai," Sustainability, MDPI, vol. 15(21), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:21:p:15325-:d:1268004
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    References listed on IDEAS

    as
    1. Kogan, Konstantin & Herbon, Avi, 2022. "Retailing under panic buying and consumer stockpiling: Can governmental intervention make a difference?," International Journal of Production Economics, Elsevier, vol. 254(C).
    2. Tianren Yang, 2020. "Understanding commuting patterns and changes: Counterfactual analysis in a planning support framework," Environment and Planning B, , vol. 47(8), pages 1440-1455, October.
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