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Mixed method assessment of built environment and policy responses to the COVID-19 pandemic by United States municipalities focusing on walking and bicycling actions

INTRODUCTION: In 2020, the COVID-19 pandemic prompted community officials to initiate local level environmental and policy changes to slow the spread of infection and provide more opportunities for outdoor recreation. Changes in both regards could positively or negatively impact walking and bicyclin...

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Autores principales: Evenson, Kelly R., Naumann, Rebecca B., Taylor, Nandi L., LaJeunesse, Seth, Combs, Tabitha S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729651/
https://www.ncbi.nlm.nih.gov/pubmed/36510600
http://dx.doi.org/10.1016/j.jth.2022.101557
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author Evenson, Kelly R.
Naumann, Rebecca B.
Taylor, Nandi L.
LaJeunesse, Seth
Combs, Tabitha S.
author_facet Evenson, Kelly R.
Naumann, Rebecca B.
Taylor, Nandi L.
LaJeunesse, Seth
Combs, Tabitha S.
author_sort Evenson, Kelly R.
collection PubMed
description INTRODUCTION: In 2020, the COVID-19 pandemic prompted community officials to initiate local level environmental and policy changes to slow the spread of infection and provide more opportunities for outdoor recreation. Changes in both regards could positively or negatively impact walking and bicycling. Using a mixed methods approach, the purpose of this United States-based study was to systematically describe municipal response to the pandemic at the community level through environmental and policy changes that may have impacted walking and bicycling. METHODS: Websites of all United States' municipalities with a residential population of at least 100,000 (n = 314) were searched to identify environmental and policy changes that might impact walking/bicycling as a result of the pandemic. When actions were identified, we systematically abstracted information from the websites. To provide more contextual information, we interviewed representatives from 12 municipalities about changes made at the municipal level as a result of the pandemic that could impact walking and bicycling. Interviews were recorded, transcribed, and coded for themes. RESULTS: For the 314 municipalities, we identified 353 actions resulting from the COVID-19 pandemic that may impact walking and bicycling. Approximately double the number of actions were identified in large-size municipalities (234 actions in 157 municipalities with population≥165,000) compared to mid-size municipalities (119 actions among 157 municipalities with population 100,000 to 164,999). Generally, fewer actions that might suppress walking and bicycling (n = 59) were identified in comparison to actions that would likely facilitate walking and bicycling (n = 294). In-depth interviews provided further context and insight into these results. CONCLUSION: This mixed-method assessment provides an overview of the environmental and policy changes which may impact walking and bicycling that municipalities implemented in 2020 due to the pandemic. A next step in this line of inquiry is to quantify the impact of these changes on population levels of walking and bicycling and related health and safety outcomes.
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spelling pubmed-97296512022-12-08 Mixed method assessment of built environment and policy responses to the COVID-19 pandemic by United States municipalities focusing on walking and bicycling actions Evenson, Kelly R. Naumann, Rebecca B. Taylor, Nandi L. LaJeunesse, Seth Combs, Tabitha S. J Transp Health Article INTRODUCTION: In 2020, the COVID-19 pandemic prompted community officials to initiate local level environmental and policy changes to slow the spread of infection and provide more opportunities for outdoor recreation. Changes in both regards could positively or negatively impact walking and bicycling. Using a mixed methods approach, the purpose of this United States-based study was to systematically describe municipal response to the pandemic at the community level through environmental and policy changes that may have impacted walking and bicycling. METHODS: Websites of all United States' municipalities with a residential population of at least 100,000 (n = 314) were searched to identify environmental and policy changes that might impact walking/bicycling as a result of the pandemic. When actions were identified, we systematically abstracted information from the websites. To provide more contextual information, we interviewed representatives from 12 municipalities about changes made at the municipal level as a result of the pandemic that could impact walking and bicycling. Interviews were recorded, transcribed, and coded for themes. RESULTS: For the 314 municipalities, we identified 353 actions resulting from the COVID-19 pandemic that may impact walking and bicycling. Approximately double the number of actions were identified in large-size municipalities (234 actions in 157 municipalities with population≥165,000) compared to mid-size municipalities (119 actions among 157 municipalities with population 100,000 to 164,999). Generally, fewer actions that might suppress walking and bicycling (n = 59) were identified in comparison to actions that would likely facilitate walking and bicycling (n = 294). In-depth interviews provided further context and insight into these results. CONCLUSION: This mixed-method assessment provides an overview of the environmental and policy changes which may impact walking and bicycling that municipalities implemented in 2020 due to the pandemic. A next step in this line of inquiry is to quantify the impact of these changes on population levels of walking and bicycling and related health and safety outcomes. Elsevier Ltd. 2023-01 2022-12-08 /pmc/articles/PMC9729651/ /pubmed/36510600 http://dx.doi.org/10.1016/j.jth.2022.101557 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Evenson, Kelly R.
Naumann, Rebecca B.
Taylor, Nandi L.
LaJeunesse, Seth
Combs, Tabitha S.
Mixed method assessment of built environment and policy responses to the COVID-19 pandemic by United States municipalities focusing on walking and bicycling actions
title Mixed method assessment of built environment and policy responses to the COVID-19 pandemic by United States municipalities focusing on walking and bicycling actions
title_full Mixed method assessment of built environment and policy responses to the COVID-19 pandemic by United States municipalities focusing on walking and bicycling actions
title_fullStr Mixed method assessment of built environment and policy responses to the COVID-19 pandemic by United States municipalities focusing on walking and bicycling actions
title_full_unstemmed Mixed method assessment of built environment and policy responses to the COVID-19 pandemic by United States municipalities focusing on walking and bicycling actions
title_short Mixed method assessment of built environment and policy responses to the COVID-19 pandemic by United States municipalities focusing on walking and bicycling actions
title_sort mixed method assessment of built environment and policy responses to the covid-19 pandemic by united states municipalities focusing on walking and bicycling actions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729651/
https://www.ncbi.nlm.nih.gov/pubmed/36510600
http://dx.doi.org/10.1016/j.jth.2022.101557
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