标题: Urban resilience assessment framework and spatiotemporal dynamics in Hubei, China

作者: Liang, Y (Liang, Yan); Cheng, YS (Cheng, Yingsong); Ren, F (Ren, Fu); Du, QY (Du, Qingyun)

来源出版物: SCIENTIFIC REPORTS 卷: 14 期: 1 文献号: 31391 DOI: 10.1038/s41598-024-82895-6 Published Date: 2024 DEC 28

摘要: Building resilient cities has become an emerging risk management strategy, thus it is necessary to make a scientific evaluation on urban resilience. In this study, both the Driving Force-Pressure-State-Impact-Response (DPSIR) framework and the BP neural network are innovatively adopted to construct a comprehensive urban resilience evaluation system. Prefecture-level cities in Hubei Province are examined for empirical analysis. The results show that: (1) The urban resilience in Hubei Province exhibits an intermittent growth pattern, progressing in a west-to-east direction. This growth is characterized by three years of advancement followed by a one-year period of stagnation. (2) There is a spatial negative correlation. Owing to uneven development within Hubei Province, it can be seen that Wuhan, the provincial capital, holds a dominant position. (3) Resource and environmental pressure has become the main obstacle to the construction of resilient cities in Wuhan. The primary limiting factors for other cities are the degree of socioeconomic growth and the capacity of the government to handle affairs. This study, based on the process-oriented nature of resilience, constructs an indicator system for urban resilience evaluation under the DPSIR framework, fully reflecting the characteristics of urban resilience. It not only enriches the theory and methodology of urban resilience evaluation but also offers valuable references for governments to formulate effective strategies for sustainable urban development.

作者关键词: Urban resilience; Driving force-pressure-state-impact-response (DPSIR); BP neural network; Obstacle diagnosis model; Sustainable development

KeyWords Plus: SUSTAINABILITY

地址: [Liang, Yan; Ren, Fu; Du, Qingyun] Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.

[Cheng, Yingsong] Wuhan Univ, Sch Elect Informat, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.

通讯作者地址: Du, QY (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.

电子邮件地址: qydu@whu.edu.cn

影响因子：3.8