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The 2-month lockdown and commuting behavior transformation in Shanghai: A phone signal data-based analysis

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  • Xiao, Weiye
  • Li, Han
  • Yuan, Feng
  • Chen, Wen

Abstract

Research on COVID-19's influence on urban mobility often compares pre-pandemic patterns with those during or post-pandemic, emphasizing the decline due to lockdowns and recovery after vaccinations. However, the pandemic's impact on urban mobility and commuting trends, extending beyond the virus's immediate presence, is multifaceted, particularly considering its three-year span and diverse lockdown policies. Our study delves deeper into the effects of Shanghai's 2-month lockdown in 2022, from early April to end of May. Leveraging granular phone signal data, we meticulously compared and analyzed the geospatial dynamics of commuting between May 2021 and July 2022. Our findings revealed a notable contraction in commuting distances. Regions previously characterized by extensive long-distance commuting lost their allure post-lockdown. Intriguingly, administrative boundaries emerged as new impediments to commuting, an outcome that cannot be solely attributed to COVID-19 apprehensions. The empirical evidence suggests the possibility of a structural change in the commuting behavior of people in Shanghai, which is unlikely to be a consequence of the virus itself and more a result of stringent and arguably excessive lockdown protocols.

Suggested Citation

  • Xiao, Weiye & Li, Han & Yuan, Feng & Chen, Wen, 2024. "The 2-month lockdown and commuting behavior transformation in Shanghai: A phone signal data-based analysis," Transport Policy, Elsevier, vol. 150(C), pages 149-161.
    • Handle: RePEc:eee:trapol:v:150:y:2024:i:c:p:149-161
    DOI: 10.1016/j.tranpol.2024.03.011
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