Influence of perceived risk on travel mode choice during Covid-19

Yu Wang, Charisma Choudhury, Thomas O. Hancock, Yacan Wang and Juan de Dios Ortúzar

Transport Policy, 2024, vol. 148, issue C, 181-191

Abstract: We aim to understand the effect of different information types on risk perception and examine the relationship between perceived risk and travel behaviour during a pandemic outbreak. A hybrid choice model structure, incorporating a multiple discrete-continuous extreme value model, was formulated and estimated to explore travellers' mode choice and usage changes. We used a risk perception map to visually explain which risk elements felt unfamiliar and uncontrollable to travellers. Virus variation, Potential sequelae, and Long-term coexistence of coronavirus with humans were perceived as the most unfamiliar and uncontrollable risk elements. The model results indicate that increased perceived risk tends to reduce travellers' use of public transport and increase the use of shared bikes and private cars. Reducing passengers’ perceived risk is critical to encourage the re-uptake of public transport in the post-pandemic era. As travellers also show significant heterogeneity, governments should aim to design targeted intervention strategies to encourage different travellers to return to public transport when considering risk communication.

Keywords: Risk-perception; Hybrid multiple discrete continuous extreme value model; Travel mode choice; Covid-19 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0967070X2400009X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:trapol:v:148:y:2024:i:c:p:181-191

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.tranpol.2024.01.009

Access Statistics for this article

Transport Policy is currently edited by Y. Hayashi

More articles in Transport Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().