Analysis of the Spatial Distribution Characteristics of Urban Resilience and Its Influencing Factors

A Case Study of 56 Cities in China

Datos Bibliográficos

ID15482000
AutoresMaomao Zhang (0000-0001-8075-7967, Central China Normal University), Weigang Chen (0000-0002-4880-8186, University of South China), Kui Cai (0000-0002-1406-262X, Hebei GEO University), Xin Gao (0000-0002-0937-6288, Hohai University), Xuesong Zhang (0000-0002-7295-9304, Central China Normal University, autor de correspondencia), Jinxiang Liu (0000-0001-6371-8333, University of South China, autor de correspondencia), Zhiyuan Wang (0000-0002-1576-6995, University of South China), Deshou Li (Central China Normal University)
Año2019
Volumen16
Número22
Páginas4442-4442
Fecha de publicación2019-11-12
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores de la revistaISSN: 1661-7827 • E-ISSN: 1660-4601
EditorialMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph16224442
PMID31726787
OpenAlexW2986794960
IdiomaEN
Citas recibidas23
Referencias citadas60

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

China · Distribution (mathematics · Economic geography · Economic growth · Economics · Geography · Population · Resilience (materials science · Socioeconomics · Sociology · Spatial distribution · Urban agglomeration · Urban planning · Urban resilience · Urbanization · Demography · Land Use and Ecosystem Services · Regional resilience and development · Urban Transport and Accessibility · Ecology