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Exploring the impacts of COVID-19 on travel behavior and mode preferences
Author(s) -
Muhammad Abdullah,
Charitha Dias,
Deepti Muley,
Md. Shahin
Publication year - 2020
Publication title -
transportation research interdisciplinary perspectives
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.383
H-Index - 10
ISSN - 2590-1982
DOI - 10.1016/j.trip.2020.100255
Subject(s) - trips architecture , pandemic , government (linguistics) , covid-19 , public transport , business , travel behavior , mode choice , work (physics) , marketing , mode (computer interface) , geography , transport engineering , engineering , medicine , computer science , mechanical engineering , linguistics , philosophy , disease , pathology , infectious disease (medical specialty) , operating system
Various measures were recommended or imposed by the governments to control the spread of COVID-19. Travel behaviors are significantly influenced due to such measures. However, people have various travel needs ranging from grocery shopping to work. This study examines the changes that occurred in travel behavior due to the COVID-19 pandemic. Data were collected through an online questionnaire survey that included questions on trip purpose, mode choice, distance traveled, and frequency of trips before and during COVID-19. 1,203 responses were collected from various countries around the world. Results explained that trip purpose, mode choice, distance traveled, and frequency of trips for the primary travel were significantly different before and during the pandemic. Further, the majority of trips were made for shopping during the pandemic. There was a significant shift from public transport to private transport and non-motorized modes. People placed a higher priority on the pandemic related concerns while choosing a mode during the pandemic as compared to the general concerns. Gender, car ownership, employment status, travel distance, the primary purpose of traveling, and pandemic-related underlying factors during COVID-19 were found to be significant predictors of mode choice during the pandemic. Outcomes of this study could be useful in transport planning and policymaking during pandemics based on the travel needs of people. In particular, government authorities could utilize such knowledge for planning smart and partial lockdowns. Service providers, e.g., taxi companies and retailers, could use such information to better plan their services and operations.

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