Lockdowned: Everyday mobility changes in response to COVID-19.

Lockdowned: Everyday mobility changes in response to COVID-19.
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DOI:
10.1016/j.jtrangeo.2020.102906
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发表时间:
2021-01
影响因子:
6.1
通讯作者:
Szmelter-Jarosz, Agnieszka
Szmelter-Jarosz, Agnieszka
中科院分区:
工程技术2区
文献类型:
--
作者:
Borkowski, Przemyslaw;Jazdzewska-Gutta, Magdalena;Szmelter-Jarosz, Agnieszka

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本文件探讨近期COVID-19疫情对人们日常流动性的影响。对流行病旅行模式的现有研究指出,交通是疾病传播的一个渠道,特别是长途旅行是人们感兴趣的中心。我们采用不同的方法研究疫情对交通系统的影响,特别是与短途日常流动活动有关的影响。我们超越了简单的旅行避免行为,并研究影响旅行时间变化和流行病下的模式划分的因素。这就引出了本文的研究问题。我们调查了日常旅行的总体减少情况,以及影响人们决定避免日常旅行的因素。本文着重于受影响的模式,并探讨不同社会群体之间的差异。我们使用CATI调查,样本量为1069名来自波兰的受访者。该调查于2020年3月24日至4月6日进行,开始日期是波兰政府出台旨在减缓COVID-19疫情的行政措施后一周。对于数据分析,我们建议使用GLM(一般线性模型),使我们能够包括描述我们样本的所有定性和定量变量。我们观察到在流行病情况下旅行时间显著缩短。无论年龄组和性别如何,这些下降都是相似的。时间的减少取决于旅行的目的、交通工具、旅行者的家庭规模、对冠状病毒的恐惧、主要职业以及疫情导致的职业变化。受访者越害怕冠状病毒,她或他就越缩短旅行时间。
This paper looks into the impact of the recent COVID-19 epidemic on the daily mobility of people. Existing research into the epidemic travel patterns points at transport as a channel for disease spreading with especially long-distance travel in the centre of interest. We adopt a different approach looking into the effects that epidemic has on the transport system and specifically in relation to short-distance daily mobility activities. We go beyond simple travel avoidance behaviours and look into factors influencing change in travel times and in modal split under epidemic. This leads to the research problems we posit in this paper. We look into the overall reduction of daily travel and into the factors impacting peoples' decisions to refrain from daily traveling. This paper focuses on modes affected and explores differences between various societal groups. We use a CATI survey with a representative sample size of 1069 respondents from Poland. The survey was carried out between March, 24th and April, 6th2020, with a start date one week after the Polish government introduced administrative measures aimed at slowing down the COVID-19 epidemic. For data analysis, we propose using the GLM (general linear model), allowing us to include all the qualitative and quantitative variables which depict our sample. We observe significant drops in travel times under epidemic conditions. Those drops are similar regardless of the age group and gender. The time decrease depended on the purpose of travels, means of transport, traveller's household size, fear of coronavirus, main occupation, and change in it caused by the epidemic. The more the respondent was afraid of coronavirus, the more she or he shortened the travel time.
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