Gray Measure and Spatial Distribution Exploration of Local Emergency Resilience on Compound Disasters

Datos Bibliográficos

ID15465316
AutoresFeng Wu (0000-0003-0144-4423, Huazhong University of Science and Technology), Wanqiang Xu (Huazhong University of Science and Technology), Yue Tang (0000-0003-2850-7260, China University of Geosciences, autor de correspondencia), Yanwei Zhang (0000-0002-7063-2308, Huazhong University of Science and Technology), Chaoran Lin (0000-0001-5894-3755, Harbin Engineering University)
Año2022
Volumen19
Número17
Páginas11071-11071
Fecha de publicación2022-09-04
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/ijerph191711071
PMID36078787
OpenAlexW4294740525
IdiomaEN
Citas recibidas1
Referencias citadas56

The complexity and uncertainty of compound disasters highlight the significance of local emergency resilience. This paper puts forward a framework, including the Projection Pursuit Model based on Real-coded Accelerating Genetic Algorithm and the Moran's Index (Moran's I), to measure the local emergency resilience and analyze its spatial distribution. An empirical test is conducted with the case of Hubei Province, China. The results show that: (1) the measurement indices related to infrastructure, material reserves, and resource allocation have a larger weight, while those related to personnel and their practice have a smaller weight. (2) The measurement value of local emergency resilience of sub-provincial regions in Hubei Province is vital in the eastern and weak in the western, and there are apparent east-west segmentation and north-south aggregation characteristics. (3) Although the sub-provincial regions do not show significant spatial correlation, the eastern regions centered on Wuhan are negatively correlated, and the western regions are positively correlated. Furthermore, this study provides theories and methods for local emergency resilience evaluation and spatial correlation exploration, and it has specific guidance recommendations for optimizing local emergency management resource allocation and improving local emergency resilience

Environmental resource management · Geography · Index (typography · Psychological resilience · Regional science · Resilience (materials science · Resource (disambiguation · Spatial distribution · Computer Science · Disaster Management and Resilience · Environmental Science · Flood Risk Assessment and Management · Infrastructure Resilience and Vulnerability Analysis · Psychology