Maryam Salari, Alam Abbasiyazdi, Hamidreza Shabanikiya
{"title":"自然灾害社会脆弱地区识别的地理空间分析。","authors":"Maryam Salari, Alam Abbasiyazdi, Hamidreza Shabanikiya","doi":"10.1017/dmp.2025.123","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Disaster risk reduction measures are now being developed based on social vulnerability. This study aimed to identify socially vulnerable areas to disasters in Razavi Khorasan Province, Iran.</p><p><strong>Methods: </strong>The research utilized a mixed method approach conducted in 2 stages. First, a vulnerability index was created using 8 sub-indices, and the value of the index was calculated for each of the 91 rural districts in the study area. In the second stage, spatial analysis using Anselin's Local Moran's I was performed to identify the most vulnerable districts.</p><p><strong>Results: </strong>Results indicated that 40 of 91 districts, covering 49% of the total area, had high social vulnerability to disasters. Anselin's Local Moran's I analysis identified 2 high-high clusters consisting of 5 districts. The study also found that areas with higher social vulnerability were more susceptible to natural hazards such as floods and earthquakes.</p><p><strong>Conclusions: </strong>Nearly half of the studied areas exhibited a high level of social vulnerability and were at risk of natural disasters. Implementing general measures to improve the socio-economic status of the population, such as increasing education and income levels, along with specific actions like assisting vulnerable populations in relocating to safer areas, can help mitigate disaster risks.</p>","PeriodicalId":54390,"journal":{"name":"Disaster Medicine and Public Health Preparedness","volume":"19 ","pages":"e208"},"PeriodicalIF":1.8000,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Geospatial Analysis for Identifying Socially Vulnerable Areas to Natural Disasters.\",\"authors\":\"Maryam Salari, Alam Abbasiyazdi, Hamidreza Shabanikiya\",\"doi\":\"10.1017/dmp.2025.123\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Disaster risk reduction measures are now being developed based on social vulnerability. This study aimed to identify socially vulnerable areas to disasters in Razavi Khorasan Province, Iran.</p><p><strong>Methods: </strong>The research utilized a mixed method approach conducted in 2 stages. First, a vulnerability index was created using 8 sub-indices, and the value of the index was calculated for each of the 91 rural districts in the study area. In the second stage, spatial analysis using Anselin's Local Moran's I was performed to identify the most vulnerable districts.</p><p><strong>Results: </strong>Results indicated that 40 of 91 districts, covering 49% of the total area, had high social vulnerability to disasters. Anselin's Local Moran's I analysis identified 2 high-high clusters consisting of 5 districts. The study also found that areas with higher social vulnerability were more susceptible to natural hazards such as floods and earthquakes.</p><p><strong>Conclusions: </strong>Nearly half of the studied areas exhibited a high level of social vulnerability and were at risk of natural disasters. Implementing general measures to improve the socio-economic status of the population, such as increasing education and income levels, along with specific actions like assisting vulnerable populations in relocating to safer areas, can help mitigate disaster risks.</p>\",\"PeriodicalId\":54390,\"journal\":{\"name\":\"Disaster Medicine and Public Health Preparedness\",\"volume\":\"19 \",\"pages\":\"e208\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2025-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Disaster Medicine and Public Health Preparedness\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1017/dmp.2025.123\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Disaster Medicine and Public Health Preparedness","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1017/dmp.2025.123","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
摘要
目标:目前正在根据社会脆弱性制定减少灾害风险的措施。本研究旨在确定伊朗呼罗珊省的社会易受灾害影响的地区。方法:采用混合方法,分两个阶段进行。首先,采用8个子指数构建脆弱性指数,并对研究区91个农村各区的脆弱性指数进行数值计算。在第二阶段,使用Anselin's Local Moran's I进行空间分析,以确定最脆弱的地区。结果:91个区县中有40个区县灾害社会脆弱性较高,占总面积的49%。Anselin的Local Moran's I分析确定了由5个地区组成的2个高-高集群。该研究还发现,社会脆弱性较高的地区更容易受到洪水和地震等自然灾害的影响。结论:近一半的研究地区表现出高度的社会脆弱性,并面临自然灾害的风险。实施改善人口社会经济地位的一般措施,如提高教育和收入水平,以及帮助弱势群体搬迁到更安全地区等具体行动,可以帮助减轻灾害风险。
Geospatial Analysis for Identifying Socially Vulnerable Areas to Natural Disasters.
Objectives: Disaster risk reduction measures are now being developed based on social vulnerability. This study aimed to identify socially vulnerable areas to disasters in Razavi Khorasan Province, Iran.
Methods: The research utilized a mixed method approach conducted in 2 stages. First, a vulnerability index was created using 8 sub-indices, and the value of the index was calculated for each of the 91 rural districts in the study area. In the second stage, spatial analysis using Anselin's Local Moran's I was performed to identify the most vulnerable districts.
Results: Results indicated that 40 of 91 districts, covering 49% of the total area, had high social vulnerability to disasters. Anselin's Local Moran's I analysis identified 2 high-high clusters consisting of 5 districts. The study also found that areas with higher social vulnerability were more susceptible to natural hazards such as floods and earthquakes.
Conclusions: Nearly half of the studied areas exhibited a high level of social vulnerability and were at risk of natural disasters. Implementing general measures to improve the socio-economic status of the population, such as increasing education and income levels, along with specific actions like assisting vulnerable populations in relocating to safer areas, can help mitigate disaster risks.
期刊介绍:
Disaster Medicine and Public Health Preparedness is the first comprehensive and authoritative journal emphasizing public health preparedness and disaster response for all health care and public health professionals globally. The journal seeks to translate science into practice and integrate medical and public health perspectives. With the events of September 11, the subsequent anthrax attacks, the tsunami in Indonesia, hurricane Katrina, SARS and the H1N1 Influenza Pandemic, all health care and public health professionals must be prepared to respond to emergency situations. In support of these pressing public health needs, Disaster Medicine and Public Health Preparedness is committed to the medical and public health communities who are the stewards of the health and security of citizens worldwide.