基于 GIS 的泗水市脆弱性与潜在危机事件关系图绘制。
Mapping Vulnerability to Potential Crisis Events in Surabaya City: A GIS-Based Approach.
机构信息
Faculty of public Health, Airlangga University, Surabaya, East Java, 60114, Indonesia.
faculty of Geodesy and Geomatics Engineering, Institut Teknologi Bandung, Bandung, West Java, 40132, Indonesia.
出版信息
F1000Res. 2024 Jul 5;13:465. doi: 10.12688/f1000research.145182.2. eCollection 2024.
BACKGROUND
This study aims to develop a vulnerability map for Surabaya using GIS-based Multi-Criteria Decision Analysis (MCDA) to assess the city's vulnerability to COVID-19.
METHODS
Six key factors influencing vulnerability were identified and their relative importance determined through the Analytic Hierarchy Process (AHP) pairwise comparison matrix. GIS was utilized to classify Surabaya's vulnerability into five levels: very low, low, medium, high, and very high.
RESULTS
The resulting vulnerability map provides essential insights for decision-makers, healthcare professionals, and disaster management teams. It enables strategic resource allocation, targeted interventions, and formulation of comprehensive response strategies tailored to specific needs of vulnerable districts.
CONCLUSIONS
Through these measures, Surabaya can enhance its resilience and preparedness, ensuring the well-being of its residents in the face of potential emergency outbreaks.
背景
本研究旨在利用基于 GIS 的多标准决策分析（MCDA）为泗水市开发一张脆弱性图，以评估该市对 COVID-19 的脆弱性。
方法
通过层次分析法（AHP）成对比较矩阵确定了影响脆弱性的六个关键因素及其相对重要性。GIS 被用于将泗水市的脆弱性分为五个级别：极低、低、中、高和极高。
结果
生成的脆弱性图为决策者、医疗保健专业人员和灾害管理团队提供了重要的见解。它使资源能够战略性地分配，有针对性地进行干预，并制定针对脆弱地区具体需求的综合应对策略。
结论
通过这些措施，泗水市可以增强其弹性和准备度，确保其居民在面临潜在的紧急疫情爆发时的福祉。
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