Resilience and recovery of public transport use during COVID-19
Jiaoe Wang, Jie Huang, Haoran Yang, David Levinson
Chinese Academy of Sciences Institute of Geographic Sciences and Natural Resources Research University of Chinese Academy of Sciences East China Normal University
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摘要与影响
To better understand how public transport use varied during the first year of COVID-19, we define and measure travel behavior resilience. With trip records between November 2019 and September 2020 in Kunming, China, we identify people who relied on traveling by subway both before and after the first pandemic wave. We investigate whether and how travelers recover to their pre-pandemic mobility level. We find that public transport use recovered slowly, as urban mobility is a result of urban functionality, transport supply, social context, and inter-personal differences. In general, urban mobility represents a strengthened revisiting tendency during COVID-19, as individual’s trips occur within a more limited space. We confirm that travel behavior resilience differs by groups. Commuters recover travel frequency and length, while older people decrease frequency but retain activity space. The study suggests that policymakers take group heterogeneity and travel behavior resilience into account for transport management and city restoration.
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社会科学Urban Transport and Accessibility
COVID-19 epidemiological studies · Disaster Management and Resilience
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