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http://dx.doi.org/10.12652/Ksce.2022.42.3.0379

Influence of COVID-19 on Public Transportation Mode Change and Countermeasures  

Kim, Su Min (Pusan National University)
Jung, Hun Young (Pusan National University)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.42, no.3, 2022 , pp. 379-389 More about this Journal
Abstract
The number of public transportation users has dropped drastically due to COVID-19. In this work, my survey was conducted to uncover the factors that influence citizens' travel patterns. Data were collected and logistic regression analysis on the shifts in transportation was undertaken. Additionally, an importance-performance analysis was carried out to investigate how to effectively operate public transportation systems and improve facilities. The main research findings were as follows: First, the more individuals were concerned about COVID-19 (+) and being infected when using public transportation (+), the greater the tendency to switch to private transportation modes. Secondly, when it came to personal traits, respondents who could drive a car (+) or owned a car (+)or did more online shopping (+) or used public transportation for trips (+) tended to switch over, compared with respondents who could not drive or did not own a caror used public transportation to commute. In addition, respondents who were vaccinated (-) or had more household members tended not to switch transportation modes, compared with those who were not vaccinated or had fewer household members. Third, it is important to continue the following efforts to safeguardhygiene linked to public transportation: wearing masks, disinfecting hands, controlling diseases, and general cleaning. The conclusion was that it is important to put traffic congestion and ventilation issues first, especially in regards public transportation, which was not rated as satisfactory enough compared to its importance. The research findings can provide useful basic data when establishing countermeasures to the current COVID-19 circumstances in the areas of public transportation operation and management and in the event of an infectious disease outbreak in the future.
Keywords
COVID-19; Public transportation; Logistic regression model; Importance performance analysis;
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Times Cited By KSCI : 1  (Citation Analysis)
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