2019年冠状病毒病(COVID-19)
句号(音乐)
2019-20冠状病毒爆发
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
病毒学
心理学
医学
物理
爆发
内科学
传染病(医学专业)
疾病
声学
作者
Zahra Tavakoli,E. Owen D. Waygood,Geneviève Boisjoly,Jonas De Vos,Kevin Manaugh,Ipek N. Sener,Yilin Sun,Bobin Wang
出处
期刊:Social Science Research Network
[Social Science Electronic Publishing]
日期:2022-01-01
摘要
Many studies have analyzed various aspects of travel satisfaction in recent years. However, during the first wave of COVID-19 pandemic, individual’s trip satisfaction was affected as many people’s activities and daily life experiences changed due to the restrictions on daily activity. Under these circumstances, it is unknown how such changes might influence travel satisfaction. For many people, trips to work were not possible, however trips to simply get out of the house, visit friends, or green destinations could have been experienced differently than in pre-pandemic times. Further, as a means of relieving stress or simply to have a chance to get physical activity, many people might have sought to make their trips by active travel modes. Finally, social interactions during travel might have been sought out or avoided more than usual. This study is the first to explore how multiple factors might influence trip satisfaction (general satisfaction and feelings: sad-happy; bored-excited; stressed-calm) during unusual pandemic conditions. The study data consists of an online survey completed by 896 people, mainly from Quebec, Canada, in the first wave of the COVID-19 pandemic in May and June 2020. The regression analyses reflect several statistically significant relationships between travel destination, travel mode, social interactions, and health. Among the important results is that individuals were consciously taking trips for health purposes, and these were statistically associated with higher levels of trip satisfaction. Also, conducting two-step regression analysis, the results reflect that the part of the influencing factors of independent variables is related to mental and physical health benefits.
科研通智能强力驱动
Strongly Powered by AbleSci AI