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Impacts of COVID-19 on Transport Modes and Mobility Behavior: Analysis of Public Discourse in Twitter

This study proposes a framework to analyze public discourse in Twitter to understand the impacts of COVID-19 on transport modes and mobility behavior. It also identifies reopening challenges and potential reopening strategies that are discussed by the public. First, the study collects 15,776 tweets...

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Detalles Bibliográficos
Autores principales: Habib, Muhammad Ahsanul, Anik, Md Asif Hasan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149523/
https://www.ncbi.nlm.nih.gov/pubmed/37153163
http://dx.doi.org/10.1177/03611981211029926
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author Habib, Muhammad Ahsanul
Anik, Md Asif Hasan
author_facet Habib, Muhammad Ahsanul
Anik, Md Asif Hasan
author_sort Habib, Muhammad Ahsanul
collection PubMed
description This study proposes a framework to analyze public discourse in Twitter to understand the impacts of COVID-19 on transport modes and mobility behavior. It also identifies reopening challenges and potential reopening strategies that are discussed by the public. First, the study collects 15,776 tweets that relate to personal opinions on transportation services posted between May 15 and June 15, 2020. Next, it applies text mining and topic modeling techniques to the tweets to determine the prominent themes, terms, and topics in those discussions to understand public feelings, behavior, and broader sentiments about the changes brought about by COVID-19 on transportation systems. Results reveal that people are avoiding public transport and shifting to using private car, bicycle, or walking. Bicycle sales have increased remarkably but car sales have declined. Cycling and walking, telecommuting, and online schools are identified as possible solutions to COVID-19 mobility problems and to reduce car usage with an aim to tackle traffic congestion in the post-pandemic world. People appreciated government decisions for funding allocation to public transport, and asked for the reshaping, restoring, and safe reopening of transit systems. Protecting transit workers, riders, shop customers and staff, and office employees is identified as a crucial reopening challenge, whereas mask wearing, phased reopening, and social distancing are proposed as effective reopening strategies. This framework can be used as a tool by decision makers to enable a holistic understanding of public opinions on transportation services during COVID-19 and formulate policies for a safe reopening.
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spelling pubmed-101495232023-05-03 Impacts of COVID-19 on Transport Modes and Mobility Behavior: Analysis of Public Discourse in Twitter Habib, Muhammad Ahsanul Anik, Md Asif Hasan Transp Res Rec COVID-19 and Transportation This study proposes a framework to analyze public discourse in Twitter to understand the impacts of COVID-19 on transport modes and mobility behavior. It also identifies reopening challenges and potential reopening strategies that are discussed by the public. First, the study collects 15,776 tweets that relate to personal opinions on transportation services posted between May 15 and June 15, 2020. Next, it applies text mining and topic modeling techniques to the tweets to determine the prominent themes, terms, and topics in those discussions to understand public feelings, behavior, and broader sentiments about the changes brought about by COVID-19 on transportation systems. Results reveal that people are avoiding public transport and shifting to using private car, bicycle, or walking. Bicycle sales have increased remarkably but car sales have declined. Cycling and walking, telecommuting, and online schools are identified as possible solutions to COVID-19 mobility problems and to reduce car usage with an aim to tackle traffic congestion in the post-pandemic world. People appreciated government decisions for funding allocation to public transport, and asked for the reshaping, restoring, and safe reopening of transit systems. Protecting transit workers, riders, shop customers and staff, and office employees is identified as a crucial reopening challenge, whereas mask wearing, phased reopening, and social distancing are proposed as effective reopening strategies. This framework can be used as a tool by decision makers to enable a holistic understanding of public opinions on transportation services during COVID-19 and formulate policies for a safe reopening. SAGE Publications 2021-08-10 2023-04 /pmc/articles/PMC10149523/ /pubmed/37153163 http://dx.doi.org/10.1177/03611981211029926 Text en © National Academy of Sciences: Transportation Research Board 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle COVID-19 and Transportation
Habib, Muhammad Ahsanul
Anik, Md Asif Hasan
Impacts of COVID-19 on Transport Modes and Mobility Behavior: Analysis of Public Discourse in Twitter
title Impacts of COVID-19 on Transport Modes and Mobility Behavior: Analysis of Public Discourse in Twitter
title_full Impacts of COVID-19 on Transport Modes and Mobility Behavior: Analysis of Public Discourse in Twitter
title_fullStr Impacts of COVID-19 on Transport Modes and Mobility Behavior: Analysis of Public Discourse in Twitter
title_full_unstemmed Impacts of COVID-19 on Transport Modes and Mobility Behavior: Analysis of Public Discourse in Twitter
title_short Impacts of COVID-19 on Transport Modes and Mobility Behavior: Analysis of Public Discourse in Twitter
title_sort impacts of covid-19 on transport modes and mobility behavior: analysis of public discourse in twitter
topic COVID-19 and Transportation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149523/
https://www.ncbi.nlm.nih.gov/pubmed/37153163
http://dx.doi.org/10.1177/03611981211029926
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