ABSTRACT

The present study focuses on the relationship between the Covid-19 pandemic and mobility patterns. By using data from an international survey, transport users’ socio-demographic features and travel characteristics during the pre-pandemic and pandemic time are analyzed.Afterward, the pandemic commuting travel behavior is modeled. The multinomial model shows that public transport users are 31.5, 10.6, and 6.9 times more likely to change their commuting transportation mode than car users, motorcycle users, and walkers, respectively. The results demonstrate that travel distance and income level are the two most influential factors in pandemic decision-making. These results confirm the reflection of spatial-economic inequalities during the pandemic. Active modes, motorcycle, and personal car are perceived by the participants as the least risky urban transportation modes during the pandemic. Thus, a considerable growth in individual transportation modes, up to 26% increase for commuting and up to 15% for leisure activities, can be recognized.

摘要

本研究侧重于 Covid-19 大流行与流动模式之间的关系。利用国际调查数据，分析大流行前和大流行期间交通用户的社会人口特征和出行特征。然后，对大流行的通勤出行行为进行建模。多项模型显示，公共交通用户改变通勤交通方式的可能性分别是汽车用户、摩托车用户和步行者的 31.5、10.6 和 6.9 倍。结果表明，出行距离和收入水平是影响大流行决策的两个最重要因素。这些结果证实了大流行期间空间经济不平等的反映。主动模式，摩托车，和个人汽车被参与者视为大流行期间风险最低的城市交通方式。因此，可以认识到个人交通方式的显着增长，通勤增长高达 26%，休闲活动增长高达 15%。