100 lines
3.2 KiB
YAML
100 lines
3.2 KiB
YAML
abstract: 'Mobility interventions in communities play a critical role in containing
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a pandemic at an early stage. The real-world practice of social
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distancing can enlighten policymakers and help them implement more
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efficient and effective control measures. A lack of such research using
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real-world observations initiates this article. We analyzed the social
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distancing performance of 66,149 census tracts from 3,142 counties in
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the United States with a specific focus on income profile. Six daily
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mobility metrics, including a social distancing index, stay-at-home
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percentage, miles traveled per person, trip rate, work trip rate, and
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non-work trip rate, were produced for each census tract using the
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location data from over 100 million anonymous devices on a monthly
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basis. Each mobility metric was further tabulated by three perspectives
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of social distancing performance: ``best performance,{''''} ``effort,{''''}
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and ``consistency.{''''} We found that for all 18 indicators, high-income
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communities demonstrated better social distancing performance. Such
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disparities between communities of different income levels are presented
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in detail in this article. The comparisons across scenarios also raise
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other concerns for low-income communities, such as employment status,
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working conditions, and accessibility to basic needs. This article lays
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out a series of facts extracted from real-world data and offers
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compelling perspectives for future discussions.'
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affiliation: 'Sun, QQ (Corresponding Author), Univ Maryland, Maryland Transportat
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Inst MTI, Dept Civil \& Environm Engn, 8228 Paint Branch Dr, College Pk, MD 20742
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USA.
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Sun, Qianqian; Zhou, Weiyi; Kabiri, Aliakbar; Darzi, Aref; Hu, Songhua; Younes,
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Hannah; Zhang, Lei, Univ Maryland, Maryland Transportat Inst MTI, Dept Civil \&
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Environm Engn, 8228 Paint Branch Dr, College Pk, MD 20742 USA.'
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author: Sun, Qianqian and Zhou, Weiyi and Kabiri, Aliakbar and Darzi, Aref and Hu,
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Songhua and Younes, Hannah and Zhang, Lei
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author-email: qsun12@umd.edu
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author_list:
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- family: Sun
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given: Qianqian
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- family: Zhou
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given: Weiyi
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- family: Kabiri
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given: Aliakbar
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- family: Darzi
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given: Aref
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- family: Hu
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given: Songhua
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- family: Younes
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given: Hannah
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- family: Zhang
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given: Lei
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da: '2023-09-28'
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doi: 10.1111/rsp3.12598
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earlyaccessdate: DEC 2022
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files: []
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issn: 1757-7802
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journal: REGIONAL SCIENCE POLICY AND PRACTICE
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keywords: 'causal impact analysis of income; community differences; COVID-19
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pandemic; Mobile location data; social distancing behavior'
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keywords-plus: PROPENSITY; BEHAVIOR
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language: English
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month: APR
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number: '3'
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number-of-cited-references: '38'
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orcid-numbers: 'HU, SONGHUA/0000-0002-0731-3080
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Kabiri, Aliakbar/0000-0003-2119-007X'
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pages: 541-558
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papis_id: 53e327c1364340af1b1e9703a483eaeb
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ref: Sun2023covid19income
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researcherid-numbers: 'HU, SONGHUA/ABF-2415-2021
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'
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times-cited: '1'
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title: 'COVID-19 and income profile: How communities in the United States responded
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to mobility restrictions in the pandemic''s early stages'
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type: article
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unique-id: WOS:000896574300001
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usage-count-last-180-days: '1'
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usage-count-since-2013: '1'
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volume: '15'
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web-of-science-categories: Geography
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year: '2023'
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