A Comparative Study of the Resilience of Urban and Rural Areas under Climate Change

• Published in: International Journal of Environmental Research and Public Health
• Main Authors: Qingmu Su, Hsueh-Sheng Chang, Shin-En Pai
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2022
• Subjects: resilience indicator; climate change; evaluation system; urban–rural differences; binary logistic regression; Medicine; R; Greenland
• Online Access: https://doi.org/10.3390/ijerph19158911; https://doaj.org/article/0644180bccea43d184a8555e09432c50

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.