A Comparative Study of the Resilience of Urban and Rural Areas under Climate Change
The impact of climate change in recent years has caused considerable risks to both urban and rural systems. How to mitigate the damage caused by extreme weather events has attracted much attention from countries in recent years. However, most of the previous studies on resilience focused on either u...
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ftmdpi:oai:mdpi.com:/1660-4601/19/15/8911/ 2023-08-20T04:06:54+02:00 A Comparative Study of the Resilience of Urban and Rural Areas under Climate Change Qingmu Su Hsueh-Sheng Chang Shin-En Pai agris 2022-07-22 application/pdf https://doi.org/10.3390/ijerph19158911 EN eng Multidisciplinary Digital Publishing Institute Global Health https://dx.doi.org/10.3390/ijerph19158911 https://creativecommons.org/licenses/by/4.0/ International Journal of Environmental Research and Public Health; Volume 19; Issue 15; Pages: 8911 resilience indicator climate change evaluation system urban–rural differences binary logistic regression Text 2022 ftmdpi https://doi.org/10.3390/ijerph19158911 2023-08-01T05:48:15Z The impact of climate change in recent years has caused considerable risks to both urban and rural systems. How to mitigate the damage caused by extreme weather events has attracted much attention from countries in recent years. However, most of the previous studies on resilience focused on either urban areas or rural areas, and failed to clearly identify the difference between urban and rural resilience. In fact, the exploration of the difference between the resilience characteristics of cities and villages under climate change can help to improve the planning strategy and the allocation of resources. In this study, the indicators of resilience were firstly built through a literature review, and then a Principal Component Analysis was conducted to construct an evaluation system involving indicators such as “greenland resilience”, “community age structure resilience”, “traditional knowledge resilience”, “infrastructure resilience” and “residents economic independence resilience”. Then the analysis of Local Indicators of Spatial Association showed some resilience abilities are concentrated in either urban or rural. Binary logistic regression was performed, and the results showed urban areas have more prominent abilities in infrastructure resilience (the coefficient value is 1.339), community age structure resilience (0.694), and greenland resilience (0.3), while rural areas are more prominent in terms of the residents economic independence resilience (−0.398) and traditional knowledge resilience (−0.422). It can be seen that urban areas rely more on the resilience of the socio-economic structure, while rural areas are more dependent on their own knowledge and economic independence. This result can be used as a reference for developing strategies to improve urban and rural resilience. Text Greenland MDPI Open Access Publishing Greenland International Journal of Environmental Research and Public Health 19 15 8911 |
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MDPI Open Access Publishing |
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English |
topic |
resilience indicator climate change evaluation system urban–rural differences binary logistic regression |
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resilience indicator climate change evaluation system urban–rural differences binary logistic regression Qingmu Su Hsueh-Sheng Chang Shin-En Pai A Comparative Study of the Resilience of Urban and Rural Areas under Climate Change |
topic_facet |
resilience indicator climate change evaluation system urban–rural differences binary logistic regression |
description |
The impact of climate change in recent years has caused considerable risks to both urban and rural systems. How to mitigate the damage caused by extreme weather events has attracted much attention from countries in recent years. However, most of the previous studies on resilience focused on either urban areas or rural areas, and failed to clearly identify the difference between urban and rural resilience. In fact, the exploration of the difference between the resilience characteristics of cities and villages under climate change can help to improve the planning strategy and the allocation of resources. In this study, the indicators of resilience were firstly built through a literature review, and then a Principal Component Analysis was conducted to construct an evaluation system involving indicators such as “greenland resilience”, “community age structure resilience”, “traditional knowledge resilience”, “infrastructure resilience” and “residents economic independence resilience”. Then the analysis of Local Indicators of Spatial Association showed some resilience abilities are concentrated in either urban or rural. Binary logistic regression was performed, and the results showed urban areas have more prominent abilities in infrastructure resilience (the coefficient value is 1.339), community age structure resilience (0.694), and greenland resilience (0.3), while rural areas are more prominent in terms of the residents economic independence resilience (−0.398) and traditional knowledge resilience (−0.422). It can be seen that urban areas rely more on the resilience of the socio-economic structure, while rural areas are more dependent on their own knowledge and economic independence. This result can be used as a reference for developing strategies to improve urban and rural resilience. |
format |
Text |
author |
Qingmu Su Hsueh-Sheng Chang Shin-En Pai |
author_facet |
Qingmu Su Hsueh-Sheng Chang Shin-En Pai |
author_sort |
Qingmu Su |
title |
A Comparative Study of the Resilience of Urban and Rural Areas under Climate Change |
title_short |
A Comparative Study of the Resilience of Urban and Rural Areas under Climate Change |
title_full |
A Comparative Study of the Resilience of Urban and Rural Areas under Climate Change |
title_fullStr |
A Comparative Study of the Resilience of Urban and Rural Areas under Climate Change |
title_full_unstemmed |
A Comparative Study of the Resilience of Urban and Rural Areas under Climate Change |
title_sort |
comparative study of the resilience of urban and rural areas under climate change |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
url |
https://doi.org/10.3390/ijerph19158911 |
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agris |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland |
genre_facet |
Greenland |
op_source |
International Journal of Environmental Research and Public Health; Volume 19; Issue 15; Pages: 8911 |
op_relation |
Global Health https://dx.doi.org/10.3390/ijerph19158911 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/ijerph19158911 |
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International Journal of Environmental Research and Public Health |
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19 |
container_issue |
15 |
container_start_page |
8911 |
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1774718262095904768 |