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Measuring spatial accessibility to refuge green space after earthquakes: A case study of Nanjing, China

The construction of refuge spaces in rapidly urbanizing historic cities is a challenging task owing to their complex urban form, unique urban fabric, and historic preservation requirements. Refuge green space (RGS) is a green space that can serve as an emergency shelter in cities, providing a flexib...

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Autores principales: Liu, Wei, Xu, Hao, Wu, Jing, Li, Wei, Hu, Huimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239463/
https://www.ncbi.nlm.nih.gov/pubmed/35763530
http://dx.doi.org/10.1371/journal.pone.0270035
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author Liu, Wei
Xu, Hao
Wu, Jing
Li, Wei
Hu, Huimin
author_facet Liu, Wei
Xu, Hao
Wu, Jing
Li, Wei
Hu, Huimin
author_sort Liu, Wei
collection PubMed
description The construction of refuge spaces in rapidly urbanizing historic cities is a challenging task owing to their complex urban form, unique urban fabric, and historic preservation requirements. Refuge green space (RGS) is a green space that can serve as an emergency shelter in cities, providing a flexible means to increase the emergency shelter capacity for rapidly urbanized historic cities. After major earthquakes, spatial accessibility to GRSs is a critical planning strategy for disaster prevention and emergency response in historic cities. To match the RGS planning with the emergency service demand, we must examine the spatial disparity in access to existing RGSs. In this study, the urban area of Nanjing was selected as the target region to analyze the spatial disparity in access to RGSs using the Gaussian two-step floating catchment area method at four evacuation times (10, 20, 30, and 60 min). The results showed that the spatial accessibility exhibited clustering characteristics, where high-accessibility spaces were mainly distributed in the northern and southern regions of Nanjing. The increase in the evacuation time improved accessibility to RGSs, but the existing RGSs still could not sufficiently satisfy the emergency shelter needs of citizens. Based on the bivariate local Moran’s I analysis of the RGS accessibility and population density, the spatial mismatch regions were dominant in the center of the urban area. These findings not only are expected to assist emergency planners by improving their strategic plans for emergency shelter investment in Nanjing and their ability to respond to catastrophic earthquakes, but also provide a strong reference for the construction of a safe environment in other rapidly developing historic cities that face earthquake threats.
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spelling pubmed-92394632022-06-29 Measuring spatial accessibility to refuge green space after earthquakes: A case study of Nanjing, China Liu, Wei Xu, Hao Wu, Jing Li, Wei Hu, Huimin PLoS One Research Article The construction of refuge spaces in rapidly urbanizing historic cities is a challenging task owing to their complex urban form, unique urban fabric, and historic preservation requirements. Refuge green space (RGS) is a green space that can serve as an emergency shelter in cities, providing a flexible means to increase the emergency shelter capacity for rapidly urbanized historic cities. After major earthquakes, spatial accessibility to GRSs is a critical planning strategy for disaster prevention and emergency response in historic cities. To match the RGS planning with the emergency service demand, we must examine the spatial disparity in access to existing RGSs. In this study, the urban area of Nanjing was selected as the target region to analyze the spatial disparity in access to RGSs using the Gaussian two-step floating catchment area method at four evacuation times (10, 20, 30, and 60 min). The results showed that the spatial accessibility exhibited clustering characteristics, where high-accessibility spaces were mainly distributed in the northern and southern regions of Nanjing. The increase in the evacuation time improved accessibility to RGSs, but the existing RGSs still could not sufficiently satisfy the emergency shelter needs of citizens. Based on the bivariate local Moran’s I analysis of the RGS accessibility and population density, the spatial mismatch regions were dominant in the center of the urban area. These findings not only are expected to assist emergency planners by improving their strategic plans for emergency shelter investment in Nanjing and their ability to respond to catastrophic earthquakes, but also provide a strong reference for the construction of a safe environment in other rapidly developing historic cities that face earthquake threats. Public Library of Science 2022-06-28 /pmc/articles/PMC9239463/ /pubmed/35763530 http://dx.doi.org/10.1371/journal.pone.0270035 Text en © 2022 Liu et al 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 use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Liu, Wei
Xu, Hao
Wu, Jing
Li, Wei
Hu, Huimin
Measuring spatial accessibility to refuge green space after earthquakes: A case study of Nanjing, China
title Measuring spatial accessibility to refuge green space after earthquakes: A case study of Nanjing, China
title_full Measuring spatial accessibility to refuge green space after earthquakes: A case study of Nanjing, China
title_fullStr Measuring spatial accessibility to refuge green space after earthquakes: A case study of Nanjing, China
title_full_unstemmed Measuring spatial accessibility to refuge green space after earthquakes: A case study of Nanjing, China
title_short Measuring spatial accessibility to refuge green space after earthquakes: A case study of Nanjing, China
title_sort measuring spatial accessibility to refuge green space after earthquakes: a case study of nanjing, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239463/
https://www.ncbi.nlm.nih.gov/pubmed/35763530
http://dx.doi.org/10.1371/journal.pone.0270035
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