Abstract

Introduction and objectiveCOVID-19 has transformed economic activities and travel behavior, especially for public transport use. When a pandemic ebbs, clarifying travel behavior changes and whether to continue public transport anti-epidemic measures is essential for a post-COVID-19 public transport renaissance. Therefore, this study investigated citizens’ metro use behavior across the pre-, in-, and post-COVID-19 phases and post-COVID-19 mode choice in transit service and anti-epidemic policies. MethodsThrough face-to-face interviews, 235 citizens were systematically sampled in proportion to district populations in Kaohsiung, Taiwan, as respondents to conduct analysis of variance for metro use changes and mixed logit modeling for mode choice. ResultsAnalysis of variance indicated an overall decrease in metro use from the pre- to in-COVID-19 phase and, for loyal-metro-user citizens, a recovery after entering the post-COVID-19 phase. Moreover, a mixed logit model illustrated that post-COVID-19 metro use was facilitated by mandatory mask wearing in the metro system, rather than transit service levels, and affected by age, number of household children, and pre-COVID-19 travel habits. ConclusionsContinuing mandatory mask wearing within public transport in an early post-pandemic time and fostering transit use habits in non-pandemic times can help recover post-COVID-19 transit ridership. Moreover, a transit use promotion scheme may not need to target loyal users with original use before and no complete suspension after COVID-19.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.