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Travel before, during and after the COVID-19 pandemic: Exploring factors in essential travel using empirical data

The COVID-19 pandemic has a significant impact on daily life, leading to quarantines and essential travel restrictions worldwide in an effort to curb the virus's spread. Despite the potential importance of essential travel, research on changes in travel patterns during the pandemic has been lim...

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Detalles Bibliográficos
Autores principales: Yang, Chao, Wan, Zhiyang, Yuan, Quan, Zhou, Yang, Sun, Maopeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288318/
https://www.ncbi.nlm.nih.gov/pubmed/37377632
http://dx.doi.org/10.1016/j.jtrangeo.2023.103640
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author Yang, Chao
Wan, Zhiyang
Yuan, Quan
Zhou, Yang
Sun, Maopeng
author_facet Yang, Chao
Wan, Zhiyang
Yuan, Quan
Zhou, Yang
Sun, Maopeng
author_sort Yang, Chao
collection PubMed
description The COVID-19 pandemic has a significant impact on daily life, leading to quarantines and essential travel restrictions worldwide in an effort to curb the virus's spread. Despite the potential importance of essential travel, research on changes in travel patterns during the pandemic has been limited, and the concept of essential travel has not been fully explored. This paper aims to address this gap by using GPS data from taxis in Xi'an City between January and April 2020 to investigate differences in travel patterns across three periods pre, during, and post the pandemic. Spatial statistical models are used to examine the major supply and demand-oriented factors that affect spatial travel patterns in different periods, and essential and nonessential socioeconomic resources are defined based on types of services. Results indicate that the spatial distribution of travel demand was highly correlated with the location of socioeconomic resources and opportunities, regardless of the period. During the “Emergency Response” period, essential travel was found to be highly associated with facilities and businesses providing essential resources and opportunities, such as essential food provider, general hospital and daily grocery supplies. The findings suggest that local authorities may better identify essential travel destinations by referencing the empirical results, strengthening public transit connections to these locations, and ultimately promoting traffic fairness in the post-pandemic era.
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spelling pubmed-102883182023-06-23 Travel before, during and after the COVID-19 pandemic: Exploring factors in essential travel using empirical data Yang, Chao Wan, Zhiyang Yuan, Quan Zhou, Yang Sun, Maopeng J Transp Geogr Article The COVID-19 pandemic has a significant impact on daily life, leading to quarantines and essential travel restrictions worldwide in an effort to curb the virus's spread. Despite the potential importance of essential travel, research on changes in travel patterns during the pandemic has been limited, and the concept of essential travel has not been fully explored. This paper aims to address this gap by using GPS data from taxis in Xi'an City between January and April 2020 to investigate differences in travel patterns across three periods pre, during, and post the pandemic. Spatial statistical models are used to examine the major supply and demand-oriented factors that affect spatial travel patterns in different periods, and essential and nonessential socioeconomic resources are defined based on types of services. Results indicate that the spatial distribution of travel demand was highly correlated with the location of socioeconomic resources and opportunities, regardless of the period. During the “Emergency Response” period, essential travel was found to be highly associated with facilities and businesses providing essential resources and opportunities, such as essential food provider, general hospital and daily grocery supplies. The findings suggest that local authorities may better identify essential travel destinations by referencing the empirical results, strengthening public transit connections to these locations, and ultimately promoting traffic fairness in the post-pandemic era. Elsevier Ltd. 2023-06 2023-06-23 /pmc/articles/PMC10288318/ /pubmed/37377632 http://dx.doi.org/10.1016/j.jtrangeo.2023.103640 Text en © 2023 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
Yang, Chao
Wan, Zhiyang
Yuan, Quan
Zhou, Yang
Sun, Maopeng
Travel before, during and after the COVID-19 pandemic: Exploring factors in essential travel using empirical data
title Travel before, during and after the COVID-19 pandemic: Exploring factors in essential travel using empirical data
title_full Travel before, during and after the COVID-19 pandemic: Exploring factors in essential travel using empirical data
title_fullStr Travel before, during and after the COVID-19 pandemic: Exploring factors in essential travel using empirical data
title_full_unstemmed Travel before, during and after the COVID-19 pandemic: Exploring factors in essential travel using empirical data
title_short Travel before, during and after the COVID-19 pandemic: Exploring factors in essential travel using empirical data
title_sort travel before, during and after the covid-19 pandemic: exploring factors in essential travel using empirical data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288318/
https://www.ncbi.nlm.nih.gov/pubmed/37377632
http://dx.doi.org/10.1016/j.jtrangeo.2023.103640
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