Abstract
The COVID-19 pandemic has put a spotlight on the importance of crowd avoidance to understand behavior during a public health emergency. In terms of travel behavior modeling tools, it is not obvious how spatial elements such as crowding should be displayed in discrete choice experiments. In this paper, we argue in favor of using virtual environments. We describe how we have successfully used static virtual environments in two pandemic-related case studies. Extrapolating from these two applications, we discuss how immersive virtual environments could be used in travel behavior research in general, along with the identification of associated methodological challenges.
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
