Socio-economic disparities in activity-travel behavior adaptation during the COVID-19 pandemic in North Carolina
The COVID-19 pandemic significantly affected human mobility. This study examines the changes in people's activity-travel behavior over 23 months (from Jan 2020 to Nov 2021) and how these changes are associated with the socio-economic status (SES) at the block group level in North Carolina. We i...
Gespeichert in:
Veröffentlicht in: | Transport policy 2022-09, Vol.125, p.70-78 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 78 |
---|---|
container_issue | |
container_start_page | 70 |
container_title | Transport policy |
container_volume | 125 |
creator | Wang, Jueyu Kaza, Nikhil McDonald, Noreen C. Khanal, Kshitiz |
description | The COVID-19 pandemic significantly affected human mobility. This study examines the changes in people's activity-travel behavior over 23 months (from Jan 2020 to Nov 2021) and how these changes are associated with the socio-economic status (SES) at the block group level in North Carolina. We identified 5 pandemic stages with different restriction regimes: the pre-pandemic, lockdown, reopening stage, restriction, and complete opening stage. Using the block-group mobility data from SafeGraph, we quantify visits to 8 types of destinations during the 5 stages. We construct regression models with interaction terms between SES and stages and find that visit patterns during the pandemic vary for different types of destinations and SES areas. Specifically, we show that visits to retail stores have a slight decrease for low and medium SES areas, and visits to retail stores and restaurants and bars bounced back immediately after the lockdown for all SES areas. The results suggest that people in low SES areas continued traveling during the pandemic. Transportation planners and policymakers should carefully design the transportation system to satisfy travel needs of those residents. Furthermore, the results also highlight the importance of designing mitigation policies that recognize the immediate recovery of visits to retail locations, restaurants, and bars.
•Examined impacts of COVID-19 on travel to 8 destination types using linear mixed models.•Found visits to retail stores, restaurants, and bars bounced back immediately after the lockdown.•Demonstrated visits to retail stores were steady during the pandemic for low and medium SES areas.•Identified smaller decreases in travel during the lockdown in low SES areas. |
doi_str_mv | 10.1016/j.tranpol.2022.05.012 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9140319</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0967070X22001512</els_id><sourcerecordid>2674006659</sourcerecordid><originalsourceid>FETCH-LOGICAL-c397t-7cbf007d5640623c4af04341e4b71e956e9f5ca14b8a016c6d92229cb784cc393</originalsourceid><addsrcrecordid>eNqFkU2P0zAQhi0EYsvCTwDlyCVh7Dh2cwGh8rXSij3wob1ZjjPdTpXawXYj7b8nUcsKTpx88DvPa8_D2EsOFQeu3uyrHK0fw1AJEKKCpgIuHrEVX-u2rDncPmYraJUuQcPtBXuW0h4ApF7XT9lF3SgltdArNn4LjkKJLvhwIFf0lEYbKROmgnxhXaaJ8n05l004FB3u7EQhFra3Y7aZgi_6YyR_V-QdFpubn1cfSt4Wo_U9LryZ8TXEvCs2NoaBvH3OnmztkPDF-bxkPz59_L75Ul7ffL7avL8uXd3qXGrXbQF03ygJStRO2i3IWnKUnebYNgrbbeMsl93azutwqm-FEK3r9Fq6GVFfsrcn7njsDtg79PMXBjNGOth4b4Il8--Np525C5NpuYSaL4DXZ0AMv46YsjlQcjgM1mM4JiOUlgBKNUu0OUVdDClF3D7UcDCLLbM3Z1tmsWWgMbOtee7V3298mPqjZw68OwVw3tREGE1yhN5hTxFdNn2g_1T8BhNWq0c</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2674006659</pqid></control><display><type>article</type><title>Socio-economic disparities in activity-travel behavior adaptation during the COVID-19 pandemic in North Carolina</title><source>Elsevier ScienceDirect Journals</source><creator>Wang, Jueyu ; Kaza, Nikhil ; McDonald, Noreen C. ; Khanal, Kshitiz</creator><creatorcontrib>Wang, Jueyu ; Kaza, Nikhil ; McDonald, Noreen C. ; Khanal, Kshitiz</creatorcontrib><description>The COVID-19 pandemic significantly affected human mobility. This study examines the changes in people's activity-travel behavior over 23 months (from Jan 2020 to Nov 2021) and how these changes are associated with the socio-economic status (SES) at the block group level in North Carolina. We identified 5 pandemic stages with different restriction regimes: the pre-pandemic, lockdown, reopening stage, restriction, and complete opening stage. Using the block-group mobility data from SafeGraph, we quantify visits to 8 types of destinations during the 5 stages. We construct regression models with interaction terms between SES and stages and find that visit patterns during the pandemic vary for different types of destinations and SES areas. Specifically, we show that visits to retail stores have a slight decrease for low and medium SES areas, and visits to retail stores and restaurants and bars bounced back immediately after the lockdown for all SES areas. The results suggest that people in low SES areas continued traveling during the pandemic. Transportation planners and policymakers should carefully design the transportation system to satisfy travel needs of those residents. Furthermore, the results also highlight the importance of designing mitigation policies that recognize the immediate recovery of visits to retail locations, restaurants, and bars.
•Examined impacts of COVID-19 on travel to 8 destination types using linear mixed models.•Found visits to retail stores, restaurants, and bars bounced back immediately after the lockdown.•Demonstrated visits to retail stores were steady during the pandemic for low and medium SES areas.•Identified smaller decreases in travel during the lockdown in low SES areas.</description><identifier>ISSN: 0967-070X</identifier><identifier>EISSN: 1879-310X</identifier><identifier>DOI: 10.1016/j.tranpol.2022.05.012</identifier><identifier>PMID: 35664727</identifier><language>eng</language><publisher>Netherlands: Elsevier Ltd</publisher><subject>COVID-19 ; Equity ; Mobile device data ; Mobility ; Travel behavior</subject><ispartof>Transport policy, 2022-09, Vol.125, p.70-78</ispartof><rights>2022 The Authors</rights><rights>2022 The Authors.</rights><rights>2022 The Authors 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c397t-7cbf007d5640623c4af04341e4b71e956e9f5ca14b8a016c6d92229cb784cc393</citedby><cites>FETCH-LOGICAL-c397t-7cbf007d5640623c4af04341e4b71e956e9f5ca14b8a016c6d92229cb784cc393</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0967070X22001512$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35664727$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Jueyu</creatorcontrib><creatorcontrib>Kaza, Nikhil</creatorcontrib><creatorcontrib>McDonald, Noreen C.</creatorcontrib><creatorcontrib>Khanal, Kshitiz</creatorcontrib><title>Socio-economic disparities in activity-travel behavior adaptation during the COVID-19 pandemic in North Carolina</title><title>Transport policy</title><addtitle>Transp Policy (Oxf)</addtitle><description>The COVID-19 pandemic significantly affected human mobility. This study examines the changes in people's activity-travel behavior over 23 months (from Jan 2020 to Nov 2021) and how these changes are associated with the socio-economic status (SES) at the block group level in North Carolina. We identified 5 pandemic stages with different restriction regimes: the pre-pandemic, lockdown, reopening stage, restriction, and complete opening stage. Using the block-group mobility data from SafeGraph, we quantify visits to 8 types of destinations during the 5 stages. We construct regression models with interaction terms between SES and stages and find that visit patterns during the pandemic vary for different types of destinations and SES areas. Specifically, we show that visits to retail stores have a slight decrease for low and medium SES areas, and visits to retail stores and restaurants and bars bounced back immediately after the lockdown for all SES areas. The results suggest that people in low SES areas continued traveling during the pandemic. Transportation planners and policymakers should carefully design the transportation system to satisfy travel needs of those residents. Furthermore, the results also highlight the importance of designing mitigation policies that recognize the immediate recovery of visits to retail locations, restaurants, and bars.
•Examined impacts of COVID-19 on travel to 8 destination types using linear mixed models.•Found visits to retail stores, restaurants, and bars bounced back immediately after the lockdown.•Demonstrated visits to retail stores were steady during the pandemic for low and medium SES areas.•Identified smaller decreases in travel during the lockdown in low SES areas.</description><subject>COVID-19</subject><subject>Equity</subject><subject>Mobile device data</subject><subject>Mobility</subject><subject>Travel behavior</subject><issn>0967-070X</issn><issn>1879-310X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqFkU2P0zAQhi0EYsvCTwDlyCVh7Dh2cwGh8rXSij3wob1ZjjPdTpXawXYj7b8nUcsKTpx88DvPa8_D2EsOFQeu3uyrHK0fw1AJEKKCpgIuHrEVX-u2rDncPmYraJUuQcPtBXuW0h4ApF7XT9lF3SgltdArNn4LjkKJLvhwIFf0lEYbKROmgnxhXaaJ8n05l004FB3u7EQhFra3Y7aZgi_6YyR_V-QdFpubn1cfSt4Wo_U9LryZ8TXEvCs2NoaBvH3OnmztkPDF-bxkPz59_L75Ul7ffL7avL8uXd3qXGrXbQF03ygJStRO2i3IWnKUnebYNgrbbeMsl93azutwqm-FEK3r9Fq6GVFfsrcn7njsDtg79PMXBjNGOth4b4Il8--Np525C5NpuYSaL4DXZ0AMv46YsjlQcjgM1mM4JiOUlgBKNUu0OUVdDClF3D7UcDCLLbM3Z1tmsWWgMbOtee7V3298mPqjZw68OwVw3tREGE1yhN5hTxFdNn2g_1T8BhNWq0c</recordid><startdate>20220901</startdate><enddate>20220901</enddate><creator>Wang, Jueyu</creator><creator>Kaza, Nikhil</creator><creator>McDonald, Noreen C.</creator><creator>Khanal, Kshitiz</creator><general>Elsevier Ltd</general><general>The Authors. Published by Elsevier Ltd</general><scope>6I.</scope><scope>AAFTH</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20220901</creationdate><title>Socio-economic disparities in activity-travel behavior adaptation during the COVID-19 pandemic in North Carolina</title><author>Wang, Jueyu ; Kaza, Nikhil ; McDonald, Noreen C. ; Khanal, Kshitiz</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c397t-7cbf007d5640623c4af04341e4b71e956e9f5ca14b8a016c6d92229cb784cc393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>COVID-19</topic><topic>Equity</topic><topic>Mobile device data</topic><topic>Mobility</topic><topic>Travel behavior</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Jueyu</creatorcontrib><creatorcontrib>Kaza, Nikhil</creatorcontrib><creatorcontrib>McDonald, Noreen C.</creatorcontrib><creatorcontrib>Khanal, Kshitiz</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Transport policy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Jueyu</au><au>Kaza, Nikhil</au><au>McDonald, Noreen C.</au><au>Khanal, Kshitiz</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Socio-economic disparities in activity-travel behavior adaptation during the COVID-19 pandemic in North Carolina</atitle><jtitle>Transport policy</jtitle><addtitle>Transp Policy (Oxf)</addtitle><date>2022-09-01</date><risdate>2022</risdate><volume>125</volume><spage>70</spage><epage>78</epage><pages>70-78</pages><issn>0967-070X</issn><eissn>1879-310X</eissn><abstract>The COVID-19 pandemic significantly affected human mobility. This study examines the changes in people's activity-travel behavior over 23 months (from Jan 2020 to Nov 2021) and how these changes are associated with the socio-economic status (SES) at the block group level in North Carolina. We identified 5 pandemic stages with different restriction regimes: the pre-pandemic, lockdown, reopening stage, restriction, and complete opening stage. Using the block-group mobility data from SafeGraph, we quantify visits to 8 types of destinations during the 5 stages. We construct regression models with interaction terms between SES and stages and find that visit patterns during the pandemic vary for different types of destinations and SES areas. Specifically, we show that visits to retail stores have a slight decrease for low and medium SES areas, and visits to retail stores and restaurants and bars bounced back immediately after the lockdown for all SES areas. The results suggest that people in low SES areas continued traveling during the pandemic. Transportation planners and policymakers should carefully design the transportation system to satisfy travel needs of those residents. Furthermore, the results also highlight the importance of designing mitigation policies that recognize the immediate recovery of visits to retail locations, restaurants, and bars.
•Examined impacts of COVID-19 on travel to 8 destination types using linear mixed models.•Found visits to retail stores, restaurants, and bars bounced back immediately after the lockdown.•Demonstrated visits to retail stores were steady during the pandemic for low and medium SES areas.•Identified smaller decreases in travel during the lockdown in low SES areas.</abstract><cop>Netherlands</cop><pub>Elsevier Ltd</pub><pmid>35664727</pmid><doi>10.1016/j.tranpol.2022.05.012</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0967-070X |
ispartof | Transport policy, 2022-09, Vol.125, p.70-78 |
issn | 0967-070X 1879-310X |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9140319 |
source | Elsevier ScienceDirect Journals |
subjects | COVID-19 Equity Mobile device data Mobility Travel behavior |
title | Socio-economic disparities in activity-travel behavior adaptation during the COVID-19 pandemic in North Carolina |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T14%3A52%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Socio-economic%20disparities%20in%20activity-travel%20behavior%20adaptation%20during%20the%20COVID-19%20pandemic%20in%20North%20Carolina&rft.jtitle=Transport%20policy&rft.au=Wang,%20Jueyu&rft.date=2022-09-01&rft.volume=125&rft.spage=70&rft.epage=78&rft.pages=70-78&rft.issn=0967-070X&rft.eissn=1879-310X&rft_id=info:doi/10.1016/j.tranpol.2022.05.012&rft_dat=%3Cproquest_pubme%3E2674006659%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2674006659&rft_id=info:pmid/35664727&rft_els_id=S0967070X22001512&rfr_iscdi=true |