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疫情时期的出行:探究新冠疫情对城市出行行为的改变及长期影响。

Mobility in pandemic times: Exploring changes and long-term effects of COVID-19 on urban mobility behavior.

作者信息

Kellermann Robin, Sivizaca Conde Daniel, Rößler David, Kliewer Natalia, Dienel Hans-Liudger

机构信息

Technische Universität Berlin, Department of Work, Technology and Participation, Cluster Mobility Research, Berlin, Germany.

Freie Universität Berlin, Department of Information Systems, Berlin, Germany.

出版信息

Transp Res Interdiscip Perspect. 2022 Sep;15:100668. doi: 10.1016/j.trip.2022.100668. Epub 2022 Aug 11.

Abstract

The COVID-19 pandemic marked a global disruption of unprecedented scale which was closely associated with human mobility. Since mobility acts as a facilitator for spreading the virus, individuals were forced to reconsider their respective behaviors. Despite numerous studies having detected behavioral changes during the first lockdown period (spring 2020), there is a lack of longitudinal perspectives that can provide insights into the intra-pandemic dynamics and potential long-term effects. This article investigates COVID-19-induced mobility-behavioral transformations by analyzing travel patterns of Berlin residents during a 20-month pandemic period and comparing them to the pre-pandemic situation. Based on quantitative analysis of almost 800,000 recorded trips, our longitudinal examination revealed individuals having reduced average monthly travel distances by ∼20%, trip frequencies by ∼11%, and having switched to individual modes. Public transportation has suffered a continual regression, with trip frequencies experiencing a relative long-term reduction of ∼50%, and a respective decrease of traveled distances by ∼43%. In contrast, the bicycle (rather than the car) was the central beneficiary, indicated by bicycle-related trip frequencies experiencing a relative long-term increase of ∼53%, and travel distances increasing by ∼117%. Comparing behavioral responses to three pandemic waves, our analysis revealed each wave to have created unique response patterns, which show a gradual softening of individuals' mobility related self-restrictions. Our findings contribute to retracing and quantifying individuals' changing mobility behaviors induced by the pandemic, and to detecting possible long-term effects that may constitute a "new normal" of an entirely altered urban mobility landscape.

摘要

新冠疫情标志着一场规模空前的全球大混乱,这与人员流动密切相关。由于人员流动是病毒传播的促进因素,人们被迫重新审视各自的行为。尽管众多研究已发现首次封锁期间(2020年春季)的行为变化,但缺乏能洞察疫情期间动态变化及潜在长期影响的纵向视角。本文通过分析柏林居民在20个月疫情期间的出行模式,并将其与疫情前的情况进行比较,来研究新冠疫情引发的出行行为转变。基于对近80万次记录行程的定量分析,我们的纵向研究发现,个人平均每月出行距离减少了约20%,出行频率减少了约11%,且转向了单人出行模式。公共交通持续衰退,出行频率相对长期下降了约50%,出行距离相应减少了约43%。相比之下,自行车(而非汽车)是主要受益者,与自行车相关的出行频率相对长期增长了约53%,出行距离增加了约117%。通过比较对三波疫情的行为反应,我们的分析表明每一波疫情都产生了独特的反应模式,显示出个人与出行相关的自我限制在逐渐放松。我们的研究结果有助于追溯和量化疫情引发的个人出行行为变化,并检测可能构成完全改变的城市出行格局“新常态”的长期影响。

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