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A new global method for identifying urban rail transit key station during COVID-19: A case study of Beijing, China
The rapid-developed COVID-19 has been defined as a global emergency by the World Health Organization. Meanwhile, various evidence indicates there is a positive correlation between the transmission and population density, especially in closed and semi-closed space. The urban rail transit, as one of t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294621/ https://www.ncbi.nlm.nih.gov/pubmed/35875203 http://dx.doi.org/10.1016/j.physa.2020.125578 |
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author | Jia, Jianlin Chen, Yanyan Wang, Yang Li, Tongfei Li, Yongxing |
author_facet | Jia, Jianlin Chen, Yanyan Wang, Yang Li, Tongfei Li, Yongxing |
author_sort | Jia, Jianlin |
collection | PubMed |
description | The rapid-developed COVID-19 has been defined as a global emergency by the World Health Organization. Meanwhile, various evidence indicates there is a positive correlation between the transmission and population density, especially in closed and semi-closed space. The urban rail transit, as one of the major mode choices for people to commute in big cities, carries thousands of passengers every day with relatively closed and limited space, which provides favorable conditions for the spread of the virus. If the surrounding area of any station was disrupted under COVID-19, not only the individual line but also the entire urban rail transit network will have the risk to be affected. Therefore, it is necessary to identify and explore the distribution law of key stations during the spreading process of the COVID-19 virus in the urban rail transit network during the COVID-19 pandemic. Based on the spatial distribution of epidemic area and the demand of urban rail transit passengers, we have proposed a construction method of the rail transit network and use the improved shortest path algorithm to determine the route diversity index of each station which indicates its importance in the urban rail transit network. On this basis, we identify the key stations of the Beijing rail transit network to ensure that passengers avoid high-risk stations during the epidemic. The results show that the number of reasonable routes between any two stations is 1 to 5 during the COVID-19 pandemic. Moreover, the routes diversity index of the Beijing rail transit network was 1.235 during the COVID-19 pandemic and 2.2574 in the normal period. According to the reasonable route diversity index, we have identified the key stations of the Beijing rail transit network during the COVID-19, such as Qi-Li-Zhuang station. |
format | Online Article Text |
id | pubmed-9294621 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92946212022-07-19 A new global method for identifying urban rail transit key station during COVID-19: A case study of Beijing, China Jia, Jianlin Chen, Yanyan Wang, Yang Li, Tongfei Li, Yongxing Physica A Article The rapid-developed COVID-19 has been defined as a global emergency by the World Health Organization. Meanwhile, various evidence indicates there is a positive correlation between the transmission and population density, especially in closed and semi-closed space. The urban rail transit, as one of the major mode choices for people to commute in big cities, carries thousands of passengers every day with relatively closed and limited space, which provides favorable conditions for the spread of the virus. If the surrounding area of any station was disrupted under COVID-19, not only the individual line but also the entire urban rail transit network will have the risk to be affected. Therefore, it is necessary to identify and explore the distribution law of key stations during the spreading process of the COVID-19 virus in the urban rail transit network during the COVID-19 pandemic. Based on the spatial distribution of epidemic area and the demand of urban rail transit passengers, we have proposed a construction method of the rail transit network and use the improved shortest path algorithm to determine the route diversity index of each station which indicates its importance in the urban rail transit network. On this basis, we identify the key stations of the Beijing rail transit network to ensure that passengers avoid high-risk stations during the epidemic. The results show that the number of reasonable routes between any two stations is 1 to 5 during the COVID-19 pandemic. Moreover, the routes diversity index of the Beijing rail transit network was 1.235 during the COVID-19 pandemic and 2.2574 in the normal period. According to the reasonable route diversity index, we have identified the key stations of the Beijing rail transit network during the COVID-19, such as Qi-Li-Zhuang station. Elsevier B.V. 2021-03-01 2020-11-25 /pmc/articles/PMC9294621/ /pubmed/35875203 http://dx.doi.org/10.1016/j.physa.2020.125578 Text en © 2020 Elsevier B.V. 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 Jia, Jianlin Chen, Yanyan Wang, Yang Li, Tongfei Li, Yongxing A new global method for identifying urban rail transit key station during COVID-19: A case study of Beijing, China |
title | A new global method for identifying urban rail transit key station during COVID-19: A case study of Beijing, China |
title_full | A new global method for identifying urban rail transit key station during COVID-19: A case study of Beijing, China |
title_fullStr | A new global method for identifying urban rail transit key station during COVID-19: A case study of Beijing, China |
title_full_unstemmed | A new global method for identifying urban rail transit key station during COVID-19: A case study of Beijing, China |
title_short | A new global method for identifying urban rail transit key station during COVID-19: A case study of Beijing, China |
title_sort | new global method for identifying urban rail transit key station during covid-19: a case study of beijing, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294621/ https://www.ncbi.nlm.nih.gov/pubmed/35875203 http://dx.doi.org/10.1016/j.physa.2020.125578 |
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