英文摘要 |
At the end of 2019, a global outbreak of the new coronavirus (COVID-19) emerged. To prevent the spread of this high-infectious and high-mortality virus, various governments have successfully implemented lockdown policies, and peoples lifestyles have begun to change. The number of confirmed cases rose sharply after the epidemics broke out again in Taiwan in May 2021. The government announced a national third-level epidemic alert on May 19 to control the spread of the virus. Within two months, the number of daily passengers on the Taiwan Railways and Taiwan High Speed Rail has dropped by 80% to 90% compared with the same period last year, showing that some people in Taiwan have changed their traveling behavior. In this study, the questionnaire was designed by the revealed preference method. We use the Multinomial Logit Model to calibrate the model, constructing a model for travelers’choice of long-range transportation before and after the epidemic alert. Exploratory Factor Analysis is used to identify the latent variables, and it is found that the factors that affect the choice of transportation after the alert include“epidemic prevention considerations.”The result of the Multinomial Logit Model shows that the travelers’preferences for transportation before and after the alert are significantly different. The addition of explanatory variable“epidemic prevention considerations”improved the model explanatory power after the alert. |