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新冠疫情对非工作出行模式的影响:基于智能手机移动性数据的地域调查。

COVID-19 impacts on non-work travel patterns: A place-based investigation using smartphone mobility data.

作者信息

Song Yang, Lee Sungmin, Park Amaryllis H, Lee Chanam

机构信息

Department of Landscape Architecture & Urban Planning, College of Architecture, Texas A&M University, College Station, TX, USA.

出版信息

Environ Plan B Urban Anal City Sci. 2023 Mar;50(3):642-659. doi: 10.1177/23998083221124930. Epub 2022 Sep 4.

Abstract

The COVID-19 pandemic has brought unprecedented changes to our mobility. It has not only changed our work-related travel patterns but also impacted leisure and other utilitarian activities. Non-work-related trips tend to be more seriously affected by the neighborhood/contextual factors such as socioeconomic status (SES), and destination accessibility, and COVID-19 impact on non-work trips may not be equal across different neighborhood SES. This study compares non-work-related travel patterns between the pre- and during COVID-19 pandemic in the City of El Paso, Texas. By utilizing smartphone mobility data, we captured the visitation data for major non-work destinations such as restaurants, supermarkets, drinking places, religious organizations, and parks. We used Census block groups ( = 424) within the city and divided them into low- and high-income neighborhoods based on the citywide median. Overall, the total frequency of visitations and the distances traveled to visit these non-work destinations were influenced by the COVID-19 pandemic. However, significant variations existed in their visitation patterns by the type of non-work destinations. While the overall COVID-19 effects on non-work activities were evident, its effects on the travel patterns to each destination were not equal by neighborhood SES. We also found that COVID-19 had differently influenced non-work activities between high- and low-income block groups. Our findings suggest that the COVID-19 pandemic may exacerbate neighborhood-level inequalities in non-work trips. Thus, safe and affordable transportation options together with compact and walkable community development appear imperative to support daily travel needs for various utilitarian and leisure purposes, especially in low-income neighborhoods.

摘要

新冠疫情给我们的出行带来了前所未有的变化。它不仅改变了我们与工作相关的出行模式,还影响了休闲及其他实用活动。与工作无关的出行往往更容易受到邻里/环境因素的严重影响,如社会经济地位(SES)和目的地可达性,而且新冠疫情对非工作出行的影响在不同邻里社会经济地位之间可能并不相同。本研究比较了得克萨斯州埃尔帕索市在新冠疫情之前和期间与工作无关的出行模式。通过利用智能手机出行数据,我们获取了主要非工作目的地(如餐馆、超市、饮酒场所、宗教组织和公园)的到访数据。我们使用了该市范围内的人口普查街区组(=424个),并根据全市中位数将它们划分为低收入和高收入社区。总体而言,到访这些非工作目的地的总频次和出行距离受到了新冠疫情的影响。然而,不同类型的非工作目的地的到访模式存在显著差异。虽然新冠疫情对非工作活动的总体影响是明显的,但其对前往每个目的地的出行模式的影响在邻里社会经济地位方面并不相同。我们还发现,新冠疫情对高收入和低收入街区组的非工作活动产生了不同的影响。我们的研究结果表明,新冠疫情可能会加剧非工作出行在邻里层面的不平等。因此,安全且经济实惠的交通选择以及紧凑且适宜步行的社区发展对于满足各种实用和休闲目的的日常出行需求似乎至关重要,尤其是在低收入社区。

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Effectiveness of personal protective health behaviour against COVID-19.
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Impact of the COVID-19 pandemic on the lifestyle, mental health, and quality of life of adults in South Korea.
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Food consumption behavior during the COVID-19 pandemic.
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