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The impact of COVID-19 on the ride-sharing industry and its recovery: Causal evidence from China.
Wang, Wei; Miao, Wei; Liu, Yongdong; Deng, Yiting; Cao, Yunfei.
  • Wang W; School of International Trade and Economics, University of International Business and Economics, 10 Huixin East Street, Beijing 100029, China.
  • Miao W; UCL School of Management, University College London, Level 38, One Canada Square, Canary Wharf, London E14 5AA, United Kingdom.
  • Liu Y; UCL School of Management, University College London, Level 38, One Canada Square, Canary Wharf, London E14 5AA, United Kingdom.
  • Deng Y; UCL School of Management, University College London, Level 38, One Canada Square, Canary Wharf, London E14 5AA, United Kingdom.
  • Cao Y; Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China.
Transp Res Part A Policy Pract ; 155: 128-141, 2022 Jan.
Article in English | MEDLINE | ID: covidwho-1487987
ABSTRACT
The COVID-19 pandemic has brought unprecedented disruptions to many industries, and the transportation industry is among the most disrupted ones. We seek to address, in the context of a ride-sharing platform, the response of drivers to the pandemic and the post-pandemic recovery. We collected comprehensive trip data from one of the leading ride-sharing companies in China from September 2019 to August 2020, which cover pre-, during-, and post-pandemic phases in three major Chinese cities, and investigate the causal effect of the COVID-19 pandemic on driver behavior. We find that drivers only slightly reduce their number of shifts in response to increased COVID-19 cases, likely because they have to make a living from providing ride-sharing services. Nevertheless, conditional on working, drivers exhibit strong risk aversion As the number of new cases increases, drivers strategically adjust the scope of their search for passengers, complete fewer trips, and as a result, make lower daily earnings. Finally, our heterogeneity analyses indicate that the effects appear to vary both across drivers and over time, with generally stronger effects on drivers who are older, more experienced, more active before the pandemic, and higher-status within the firm. Our findings have strong policy implications These drivers tend to contribute more to the focal company, and also rely more on providing ride-sharing services to make a living. Therefore, they should be prioritized in stimulus plans offered by the government or the ride-sharing company.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: Transp Res Part A Policy Pract Year: 2022 Document Type: Article Affiliation country: J.tra.2021.10.005

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: Transp Res Part A Policy Pract Year: 2022 Document Type: Article Affiliation country: J.tra.2021.10.005