Plunge and rebound of a taxi market through COVID-19 lockdown: Lessons learned from Shenzhen, China

This paper traces the plunge and rebound of the taxi market in Shenzhen, China through the COVID-19 lockdown. A four-week taxi GPS trajectory data set is collected in the first quarter of 2020, which covers the period of lockdown and phased reopening in the city. The authors conduct a spatiotemporal analysis of taxi demand using the data, and then select taxis that continued to operate through the analysis period to examine whether and how they adjusted operational strategies. The authors find, among other things: (i) the taxi demand in Shenzhen shrank more than 85% in the lockdown phase and barely recovered from that bottom even after the city began to reopen; (ii) the recovery of taxi travel fell far behind that of the overall vehicle travel in the city; (iii) most taxis significantly cut back work hours in response to the lockdown, and many adjusted work schedule to focus on serving peak-time demand after it was lifted; (iv) taxi drivers demonstrate distinct behavioral adaptations to the pandemic that can be identified by a clustering analysis; and (v) while the level of taxi service dropped precipitately at the beginning, it quickly rebounded to exceed the pre-pandemic level, thanks to the government’s incentive policy. These empirical findings suggest (i) incentives aiming at boosting supply should more precisely target where the boost is most needed; (ii) the taxi market conditions should be closely monitored to support and adjust policies; and (iii) when the demand is severely depressed by lockdown orders or when the market is oversupplied, taxi drivers should be encouraged and aided to use more centralized dispatching modes.

• Record URL:
  https://doi.org/10.1016/j.tra.2021.06.012
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0965856421001567
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09658564
• Supplemental Notes:
  • © 2021 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Zheng, Hongyu
  • Zhang, Kenan
  • Nie, Yu (Marco)
• Publication Date: 2021-8

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; References; Tables;
• Pagination: pp 349-366
• Serial:
  • Transportation Research Part A: Policy and Practice
  • Volume: 150
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0965-8564
  • Serial URL: http://www.sciencedirect.com/science/journal/09658564

Subject/Index Terms

• TRT Terms: COVID-19; Demand; Markets; Spatial analysis; Taxicabs; Trajectory
• Geographic Terms: Shenzhen (China)
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Public Transportation; Security and Emergencies;

Filing Info

• Accession Number: 01782766
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 24 2021 10:20AM