Understanding People’s Ridesourcing Service-Related Behavior Change after COVID-19 Lockdown in Shanghai, 2022

This study examines the influence of a three-month COVID-19 lockdown in Shanghai on the frequency of ridesourcing service use and the willingness of users to continue utilizing these services post-pandemic. Two surveys were conducted employing a blend of stated preference and revealed preference questions, one before and the other after the lockdown. Over 1,200 responses were collected in 2022. Ordered logistic regression models were estimated to analyze the influence of factors such as sociodemographic characteristics and attitudes towards ridesourcing services. Model estimates underscore the statistically significant impact of perceived vehicle cleanliness, the perceived severity of the pandemic, perceived vaccine effectiveness, and general attitudes towards ridesourcing services on these behavioral changes. The findings of this study offer valuable insights that may aid policymakers in crafting effective strategies to shape ridesourcing perception and behaviors in a post-pandemic context.

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Published
2024-12-11
DOI
https://doi.org/10.1061/9780784485484.105
Primary Topic
Diverse Topics in Contemporary Research
Type
article
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article

Understanding People’s Ridesourcing Service-Related Behavior Change after COVID-19 Lockdown in Shanghai, 2022

Yuntao Guo, Xinghua Li, Lan He
Diverse Topics in Contemporary Research
article

Understanding People’s Ridesourcing Service-Related Behavior Change after COVID-19 Lockdown in Shanghai, 2022

Yuntao Guo, Xinghua Li, Lan He
article en

Abstract

This study examines the influence of a three-month COVID-19 lockdown in Shanghai on the frequency of ridesourcing service use and the willingness of users to continue utilizing these services post-pandemic. Two surveys were conducted employing a blend of stated preference and revealed preference questions, one before and the other after the lockdown. Over 1,200 responses were collected in 2022. Ordered logistic regression models were estimated to analyze the influence of factors such as sociodemographic characteristics and attitudes towards ridesourcing services. Model estimates underscore the statistically significant impact of perceived vehicle cleanliness, the perceived severity of the pandemic, perceived vaccine effectiveness, and general attitudes towards ridesourcing services on these behavioral changes. The findings of this study offer valuable insights that may aid policymakers in crafting effective strategies to shape ridesourcing perception and behaviors in a post-pandemic context.

Tongji University (CN)
Gender equality
Openalex Percentile: Top 63%
Diverse Topics in Contemporary Research
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