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A topology-based evaluation of resilience on urban road networks against epidemic spread: Implications for COVID-19 responses
Road closure is an effective measure to reduce mobility and prevent the spread of an epidemic in severe public health crises. For instance, during the peak waves of the global COVID-19 pandemic, many countries implemented road closure policies, such as the traffic-calming strategy in the UK. However...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9623115/ https://www.ncbi.nlm.nih.gov/pubmed/36330118 http://dx.doi.org/10.3389/fpubh.2022.1023176 |
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author | Tang, Junqing Lin, Huali Fan, Xudong Yu, Xiong Lu, Qiuchen |
author_facet | Tang, Junqing Lin, Huali Fan, Xudong Yu, Xiong Lu, Qiuchen |
author_sort | Tang, Junqing |
collection | PubMed |
description | Road closure is an effective measure to reduce mobility and prevent the spread of an epidemic in severe public health crises. For instance, during the peak waves of the global COVID-19 pandemic, many countries implemented road closure policies, such as the traffic-calming strategy in the UK. However, it is still not clear how such road closures, if used as a response to different modes of epidemic spreading, affect the resilient performance of large-scale road networks in terms of their efficiency and overall accessibility. In this paper, we propose a simulation-based approach to theoretically investigate two types of spreading mechanisms and evaluate the effectiveness of both static and dynamic response scenarios, including the sporadic epidemic spreading based on network topologies and trajectory-based spreading caused by superspreaders in megacities. The results showed that (1) the road network demonstrates comparatively worse resilient behavior under the trajectory-based spreading mode; (2) the road density and centrality order, as well as the network's regional geographical characteristics, can substantially alter the level of impacts and introduce heterogeneity into the recovery processes; and (3) the resilience lost under static recovery and dynamic recovery scenarios is 8.6 and 6.9%, respectively, which demonstrates the necessity of a dynamic response and the importance of making a systematic and strategic recovery plan. Policy and managerial implications are also discussed. This paper provides new insights for better managing the resilience of urban road networks against public health crises in the post-COVID era. |
format | Online Article Text |
id | pubmed-9623115 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96231152022-11-02 A topology-based evaluation of resilience on urban road networks against epidemic spread: Implications for COVID-19 responses Tang, Junqing Lin, Huali Fan, Xudong Yu, Xiong Lu, Qiuchen Front Public Health Public Health Road closure is an effective measure to reduce mobility and prevent the spread of an epidemic in severe public health crises. For instance, during the peak waves of the global COVID-19 pandemic, many countries implemented road closure policies, such as the traffic-calming strategy in the UK. However, it is still not clear how such road closures, if used as a response to different modes of epidemic spreading, affect the resilient performance of large-scale road networks in terms of their efficiency and overall accessibility. In this paper, we propose a simulation-based approach to theoretically investigate two types of spreading mechanisms and evaluate the effectiveness of both static and dynamic response scenarios, including the sporadic epidemic spreading based on network topologies and trajectory-based spreading caused by superspreaders in megacities. The results showed that (1) the road network demonstrates comparatively worse resilient behavior under the trajectory-based spreading mode; (2) the road density and centrality order, as well as the network's regional geographical characteristics, can substantially alter the level of impacts and introduce heterogeneity into the recovery processes; and (3) the resilience lost under static recovery and dynamic recovery scenarios is 8.6 and 6.9%, respectively, which demonstrates the necessity of a dynamic response and the importance of making a systematic and strategic recovery plan. Policy and managerial implications are also discussed. This paper provides new insights for better managing the resilience of urban road networks against public health crises in the post-COVID era. Frontiers Media S.A. 2022-10-18 /pmc/articles/PMC9623115/ /pubmed/36330118 http://dx.doi.org/10.3389/fpubh.2022.1023176 Text en Copyright © 2022 Tang, Lin, Fan, Yu and Lu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Tang, Junqing Lin, Huali Fan, Xudong Yu, Xiong Lu, Qiuchen A topology-based evaluation of resilience on urban road networks against epidemic spread: Implications for COVID-19 responses |
title | A topology-based evaluation of resilience on urban road networks against epidemic spread: Implications for COVID-19 responses |
title_full | A topology-based evaluation of resilience on urban road networks against epidemic spread: Implications for COVID-19 responses |
title_fullStr | A topology-based evaluation of resilience on urban road networks against epidemic spread: Implications for COVID-19 responses |
title_full_unstemmed | A topology-based evaluation of resilience on urban road networks against epidemic spread: Implications for COVID-19 responses |
title_short | A topology-based evaluation of resilience on urban road networks against epidemic spread: Implications for COVID-19 responses |
title_sort | topology-based evaluation of resilience on urban road networks against epidemic spread: implications for covid-19 responses |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9623115/ https://www.ncbi.nlm.nih.gov/pubmed/36330118 http://dx.doi.org/10.3389/fpubh.2022.1023176 |
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