Abstract:
The COVID-19 pandemic strongly affected mobility around the world. Public transport was particularly hindered, since people may perceive it as unsafe and decide to avoid it. Moreover, in Switzerland, several restrictions were applied at the beginning of the first pandemic wave (16/03/2020), to reduce the contagion. This study observes how the pandemic affected travel behaviour of public transport users, focusing on route choice and recurrent trips. We conducted a travel survey based on GPS tracking during the first pandemic wave, following 48 users for more than 4 months. The very same users were also tracked in spring 2019, allowing a precise comparison of travel behaviour before and during the pandemic. We analyse how the pandemic affected users, in terms of travel distance, mode share and location during the day. We specifically focus on recurrent trips, commuting and non-commuting, observing how mode and route changed between the two different periods. Finally, we estimate a route choice model for public transport (Mixed Path Size Logit), based on trips during the two different years, to identify how the route choice criteria changed during the pandemic. The main differences identified in travel behaviour during the pandemic are a different perception of costs of transfers and of travel time in train, and that users no longer have a clear preferred route for a recurrent trip, but often choose different routes.
摘要:
COVID-19大流行强烈影响了世界各地的流动性。公共交通尤其受阻,因为人们可能认为它是不安全的,并决定避免它。此外,在瑞士,在第一波大流行浪潮开始时(2020年3月16日),以减少传染。这项研究观察了大流行如何影响公共交通用户的旅行行为,专注于路线选择和循环旅行。我们在第一波大流行期间进行了基于GPS跟踪的旅行调查,48个用户超过4个月。同样的用户也在2019年春季进行了跟踪,从而可以精确比较大流行之前和期间的旅行行为。我们分析了大流行如何影响用户,就旅行距离而言,白天的模式共享和位置。我们特别关注经常性的旅行,通勤和非通勤,观察模式和路线在两个不同时期之间的变化。最后,我们估计了公共交通的路线选择模型(混合路径大小日志),根据不同年份的旅行,以确定在大流行期间路线选择标准如何变化。大流行期间旅行行为的主要差异是对转移费用和火车旅行时间的不同看法,并且用户不再有明确的定期旅行首选路线,但往往选择不同的路线。