2023 Articles

Travel Pattern Analysis on Switching Behavior in Response to the COVID-19 Pandemic

Chen, Xu; Shea, Ryan; Di, Xuan

The COVID-19 pandemic has significantly affected people’s daily life across the globe. This paper aims to understand the change of individual travel behavior during the pandemic. We administer a survey to record people’s travel habits before, during and after the stay-at-home order in New York City. Respondents’ information, including travel mode, travel frequency, trip purpose and demographics, is gathered to study switching behavior regarding travel patterns during the pandemic. Results show that among all travel mode choices, public transits are the most affected by the pandemic while bikes and automobiles are the least affected by the pandemic.