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Understanding changing public transit travel patterns of urban visitors during COVID-19: A multi-stage study

COVID-19 has caused huge disruptions to urban travel and mobility. As a critical transportation mode in cities, public transit was hit hardest. In this study, we analyze public transit usage of urban visitors with a nearly two-year smart card dataset collected in Jeju, South Korea – a major tourism...

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Autores principales: Lin, Yuqian, Xu, Yang, Zhao, Zhan, Park, Sangwon, Su, Shiliang, Ren, Mengyao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hong Kong Society for Transportation Studies. Published by Elsevier Ltd. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121110/
https://www.ncbi.nlm.nih.gov/pubmed/37153378
http://dx.doi.org/10.1016/j.tbs.2023.100587
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author Lin, Yuqian
Xu, Yang
Zhao, Zhan
Park, Sangwon
Su, Shiliang
Ren, Mengyao
author_facet Lin, Yuqian
Xu, Yang
Zhao, Zhan
Park, Sangwon
Su, Shiliang
Ren, Mengyao
author_sort Lin, Yuqian
collection PubMed
description COVID-19 has caused huge disruptions to urban travel and mobility. As a critical transportation mode in cities, public transit was hit hardest. In this study, we analyze public transit usage of urban visitors with a nearly two-year smart card dataset collected in Jeju, South Korea – a major tourism city in the Asia Pacific. The dataset captures transit usage behavior of millions of domestic visitors who traveled to Jeju between January 1, 2019 and September 30, 2020. By identifying a few key pandemic stages based on COVID-19 timeline, we employ ridge regression models to investigate the impact of pandemic severity on transit ridership. We then derive a set of mobility indicators – from perspectives of trip frequency, spatial diversity, and travel range – to quantify how individual visitors used the transit system during their stay in Jeju. By further employing time series decomposition, we extract the trend component for each mobility indicator to study long-term dynamics of visitors’ mobility behavior. According to the regression analysis, the pandemic had a dampening effect on public transit ridership. The overall ridership was jointly affected by national and local pandemic situations. The time series decomposition result reveals a long-term decay of individual transit usage, hinting that visitors in Jeju tended to use the transit system more conservatively as the pandemic endured. The study provides critical insights into urban visitors’ transit usage behavior during the pandemic and sheds light on how to restore tourism, public transit usage, and overall urban vibrancy with some policy suggestions.
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spelling pubmed-101211102023-04-24 Understanding changing public transit travel patterns of urban visitors during COVID-19: A multi-stage study Lin, Yuqian Xu, Yang Zhao, Zhan Park, Sangwon Su, Shiliang Ren, Mengyao Travel Behav Soc Article COVID-19 has caused huge disruptions to urban travel and mobility. As a critical transportation mode in cities, public transit was hit hardest. In this study, we analyze public transit usage of urban visitors with a nearly two-year smart card dataset collected in Jeju, South Korea – a major tourism city in the Asia Pacific. The dataset captures transit usage behavior of millions of domestic visitors who traveled to Jeju between January 1, 2019 and September 30, 2020. By identifying a few key pandemic stages based on COVID-19 timeline, we employ ridge regression models to investigate the impact of pandemic severity on transit ridership. We then derive a set of mobility indicators – from perspectives of trip frequency, spatial diversity, and travel range – to quantify how individual visitors used the transit system during their stay in Jeju. By further employing time series decomposition, we extract the trend component for each mobility indicator to study long-term dynamics of visitors’ mobility behavior. According to the regression analysis, the pandemic had a dampening effect on public transit ridership. The overall ridership was jointly affected by national and local pandemic situations. The time series decomposition result reveals a long-term decay of individual transit usage, hinting that visitors in Jeju tended to use the transit system more conservatively as the pandemic endured. The study provides critical insights into urban visitors’ transit usage behavior during the pandemic and sheds light on how to restore tourism, public transit usage, and overall urban vibrancy with some policy suggestions. Hong Kong Society for Transportation Studies. Published by Elsevier Ltd. 2023-07 2023-04-21 /pmc/articles/PMC10121110/ /pubmed/37153378 http://dx.doi.org/10.1016/j.tbs.2023.100587 Text en © 2023 Hong Kong Society for Transportation Studies. Published by 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
Lin, Yuqian
Xu, Yang
Zhao, Zhan
Park, Sangwon
Su, Shiliang
Ren, Mengyao
Understanding changing public transit travel patterns of urban visitors during COVID-19: A multi-stage study
title Understanding changing public transit travel patterns of urban visitors during COVID-19: A multi-stage study
title_full Understanding changing public transit travel patterns of urban visitors during COVID-19: A multi-stage study
title_fullStr Understanding changing public transit travel patterns of urban visitors during COVID-19: A multi-stage study
title_full_unstemmed Understanding changing public transit travel patterns of urban visitors during COVID-19: A multi-stage study
title_short Understanding changing public transit travel patterns of urban visitors during COVID-19: A multi-stage study
title_sort understanding changing public transit travel patterns of urban visitors during covid-19: a multi-stage study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121110/
https://www.ncbi.nlm.nih.gov/pubmed/37153378
http://dx.doi.org/10.1016/j.tbs.2023.100587
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