Lockdowned: Everyday mobility changes in response to COVID-19

被引:204
作者
Borkowski, Przemyslaw [1 ]
Jazdzewska-Gutta, Magdalena [2 ]
Szmelter-Jarosz, Agnieszka [3 ]
机构
[1] Univ Gdansk, Fac Econ, Dept Transport Econ, Armii Krajowej 119-121, PL-81824 Sopot, Poland
[2] Univ Gdansk, Fac Econ, Dept Sustainable Market Proc, Armii Krajowej 119-121, PL-81824 Sopot, Poland
[3] Univ Gdansk, Fac Econ, Dept Logist, Armii Krajowej 119-121, PL-81824 Sopot, Poland
关键词
Mobility patterns under epidemic; Transport behaviour; COVID-19; epidemic; Human mobility; Social distancing; TRAVEL RESTRICTIONS; INFLUENZA; TRANSPORT; IMPACT; PATTERNS; BEHAVIOR; EPIDEMICS; RISK;
D O I
10.1016/j.jtrangeo.2020.102906
中图分类号
F [经济];
学科分类号
02 ;
摘要
Background: 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. Methods: 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. Results: 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.
引用
收藏
页数:13
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