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Resilience patterns of human mobility in response to extreme urban floods
Large-scale disasters can disproportionately impact different population groups, causing prominent disparity and inequality, especially for the vulnerable and marginalized. Here, we investigate the resilience of human mobility under the disturbance of the unprecedented ‘720’ Zhengzhou flood in China...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10306362/ https://www.ncbi.nlm.nih.gov/pubmed/37389148 http://dx.doi.org/10.1093/nsr/nwad097 |
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author | Tang, Junqing Zhao, Pengjun Gong, Zhaoya Zhao, Hongbo Huang, Fengjue Li, Jiaying Chen, Zhihe Yu, Ling Chen, Jun |
author_facet | Tang, Junqing Zhao, Pengjun Gong, Zhaoya Zhao, Hongbo Huang, Fengjue Li, Jiaying Chen, Zhihe Yu, Ling Chen, Jun |
author_sort | Tang, Junqing |
collection | PubMed |
description | Large-scale disasters can disproportionately impact different population groups, causing prominent disparity and inequality, especially for the vulnerable and marginalized. Here, we investigate the resilience of human mobility under the disturbance of the unprecedented ‘720’ Zhengzhou flood in China in 2021 using records of 1.32 billion mobile phone signaling generated by 4.35 million people. We find that although pluvial floods can trigger mobility reductions, the overall structural dynamics of mobility networks remain relatively stable. We also find that the low levels of mobility resilience in female, adolescent and older adult groups are mainly due to their insufficient capabilities to maintain business-as-usual travel frequency during the flood. Most importantly, we reveal three types of counter-intuitive, yet widely existing, resilience patterns of human mobility (namely, ‘reverse bathtub’, ‘ever-increasing’ and ‘ever-decreasing’ patterns), and demonstrate a universal mechanism of disaster-avoidance response by further corroborating that those abnormal resilience patterns are not associated with people’s gender or age. In view of the common association between travel behaviors and travelers’ socio-demographic characteristics, our findings provide a caveat for scholars when disclosing disparities in human travel behaviors during flood-induced emergencies. |
format | Online Article Text |
id | pubmed-10306362 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-103063622023-06-29 Resilience patterns of human mobility in response to extreme urban floods Tang, Junqing Zhao, Pengjun Gong, Zhaoya Zhao, Hongbo Huang, Fengjue Li, Jiaying Chen, Zhihe Yu, Ling Chen, Jun Natl Sci Rev Research Article Large-scale disasters can disproportionately impact different population groups, causing prominent disparity and inequality, especially for the vulnerable and marginalized. Here, we investigate the resilience of human mobility under the disturbance of the unprecedented ‘720’ Zhengzhou flood in China in 2021 using records of 1.32 billion mobile phone signaling generated by 4.35 million people. We find that although pluvial floods can trigger mobility reductions, the overall structural dynamics of mobility networks remain relatively stable. We also find that the low levels of mobility resilience in female, adolescent and older adult groups are mainly due to their insufficient capabilities to maintain business-as-usual travel frequency during the flood. Most importantly, we reveal three types of counter-intuitive, yet widely existing, resilience patterns of human mobility (namely, ‘reverse bathtub’, ‘ever-increasing’ and ‘ever-decreasing’ patterns), and demonstrate a universal mechanism of disaster-avoidance response by further corroborating that those abnormal resilience patterns are not associated with people’s gender or age. In view of the common association between travel behaviors and travelers’ socio-demographic characteristics, our findings provide a caveat for scholars when disclosing disparities in human travel behaviors during flood-induced emergencies. Oxford University Press 2023-04-11 /pmc/articles/PMC10306362/ /pubmed/37389148 http://dx.doi.org/10.1093/nsr/nwad097 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Tang, Junqing Zhao, Pengjun Gong, Zhaoya Zhao, Hongbo Huang, Fengjue Li, Jiaying Chen, Zhihe Yu, Ling Chen, Jun Resilience patterns of human mobility in response to extreme urban floods |
title | Resilience patterns of human mobility in response to extreme urban floods |
title_full | Resilience patterns of human mobility in response to extreme urban floods |
title_fullStr | Resilience patterns of human mobility in response to extreme urban floods |
title_full_unstemmed | Resilience patterns of human mobility in response to extreme urban floods |
title_short | Resilience patterns of human mobility in response to extreme urban floods |
title_sort | resilience patterns of human mobility in response to extreme urban floods |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10306362/ https://www.ncbi.nlm.nih.gov/pubmed/37389148 http://dx.doi.org/10.1093/nsr/nwad097 |
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