Analysis of the Spatial Distribution Characteristics of Urban Resilience and Its Influencing Factors: A Case Study of 56 Cities in China

被引:49
|
作者
Zhang, Maomao [1 ,2 ]
Chen, Weigang [3 ]
Cai, Kui [4 ]
Gao, Xin [5 ]
Zhang, Xuesong [1 ,2 ]
Liu, Jinxiang [6 ]
Wang, Zhiyuan [3 ]
Li, Deshou [1 ,2 ]
机构
[1] Hubei Prov Key Lab Geog Proc Anal & Simulat, Wuhan 430079, Hubei, Peoples R China
[2] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China
[3] Univ South China, Sch Architecture, Hengyang 421001, Peoples R China
[4] Hebei GEO Univ, Inst Geol Survey, Shijiazhuang 050031, Hebei, Peoples R China
[5] Hohai Univ, Business Sch, Nanjing 211100, Jiangsu, Peoples R China
[6] Univ South China, Sch Civil Engn, Hengyang 421001, Peoples R China
关键词
urban resilience; spatial distribution; influencing factor; spatial regression model; 56; cities; HEAT-ISLAND; URBANIZATION; REGRESSION; SYSTEM; SUSTAINABILITY; VULNERABILITY; PREDICTION; EVOLUTION; NETWORKS; IMPACTS;
D O I
10.3390/ijerph16224442
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The healthy development of the city has received widespread attention in the world, and urban resilience is an important issue in the study of urban development. In order to better provide a useful reference for urban resilience and urban health development, this paper takes 56 cities in China as the research object, and selects 29 indicators from urban infrastructure, economy, ecology and society. The combination weight method, exploratory spatial data analysis (ESDA) and spatial measurement model are used to explore the spatial distribution of urban resilience and its influencing factors. From 2006 to 2017, the urban resilience of prefecture-level cities in the four provinces showed a wave-like rise. During the study period, the urban resilience values, measured as Moran's Is, were greater than 0.3300, showing a significantly positive correlation in regard to their spatial distribution. Regarding the local spatial correlation, the urban resilience of the study area had spatial agglomeration characteristics within the province, with a significant distribution of "cold hot spots" in the spatial distribution. From the perspective of the factors that affected urban resilience, the proportion of the actual use of foreign capital in GDP and carbon emissions per 10,000 CNY of GDP had a negative impact and GDP per square kilometer, the proportion of urban pension insurance coverage, the proportion of the population with higher education, and expenditure to maintain and build cities had a positive impact. The development strategy of urban resilience must be combined with the actual situation of the region, and the rational resilience performance evaluation system and the top-level design of urban resilience improvement should be formulated to comprehensively improve urban resilience.
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页数:22
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