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在COVID-19封锁期间对希腊的旅行行为变化进行社会经济分析

Mapping travel behavior changes during the COVID-19 lock-down: a socioeconomic analysis in Greece

作者:Ioannis Politis;Georgios Georgiadis;Anastasia Nikolaidou;Aristomenis Kopsacheilis;Ioannis Fyrogenis;Alexandros Sdoukopoulos;Eleni Verani;Efthymis Papadopoulos;

关键词:Coronavirus pandemic,Lockdown,Mobility patterns,Greece,Socioeconomic characteristics

DOI:https://doi.org/10.1186/s12544-021-00481-7

发表时间:2021年

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摘要

背景COVID-19 大流行是世界过去 100 年来从未遇到过的挑战。为了减轻其负面影响,世界各国政府采取了行动,首先禁止某些活动,有时甚至在全国范围内实施封锁。希腊是遭受这一流行病袭击的国家之一。政府当局采取了一系列对策来限制疫情的传播,最终在全国范围内实施了为期 42 天的封锁。方法这项研究旨在确定某些社会经济因素对疫情的影响。希腊公民的旅行行为,并调查是否有任何社会群体的特权相对较差或因封锁而遭受的损失更大。为此,我们设计了一份关于流动性特征的动态在线问卷调查,并在封锁期间向希腊公民发放,共收到 1,259 份有效答复。通过描述性和推论性统计测试对收集的数据进行分析,以确定流动模式以及与某些社会经济特征的相关性。此外,还开发了广义线性模型 (GLM),以研究社会经济特征对锁定期间和锁定期间出行频率的潜在影响。结果结果表明,由于封锁。此外,该模型的结果表明,封锁期间性别、收入和出行频率之间存在显着相关性,这在大流行前时期并不明显。


Abstract

BackgroundCOVID-19 pandemic is a challenge that the world had never encountered in the last 100 years. In order to mitigate its negative effects, governments worldwide took action by prohibiting at first certain activities and in some cases by a countrywide lockdown. Greece was among the countries that were struck by the pandemic. Governmental authorities took action in limiting the spread of the pandemic through a series of countermeasures, which built up to a countrywide lockdown that lasted 42 days.MethodologyThis research aims at identifying the effect of certain socioeconomic factors on the travel behaviour of Greek citizens and at investigating whether any social groups were comparatively less privileged or suffered more from the lockdown. To this end, a dynamic online questionnaire survey on mobility characteristics was designed and distributed to Greek citizens during the lockdown period, which resulted in 1,259 valid responses. Collected data were analysed through descriptive and inferential statistical tests, in order to identify mobility patterns and correlations with certain socioeconomic characteristics. Additionally, a Generalised Linear Model (GLM) was developed in order to examine the potential influence of socioeconomic characteristics to trip frequency before and during the lockdown period.ResultsOutcomes indicate a decisive decrease in trip frequencies due to the lockdown. Furthermore, the model’s results indicate significant correlations between gender, income and trip frequencies during the lockdown, something that is not evident in the pre-pandemic era.