伊朗大城市灾前准备标准的结构分析

IF 1.3 Q4 ENVIRONMENTAL STUDIES
M. M. Dehcheshmeh, Fereshteh Abdolabbas
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引用次数: 0

摘要

研究表明,由于结构性原因,伊朗大城市在 2010-2020 年期间因自然灾害造成的伤亡和损失最大。本研究旨在提取、分类和确定影响这些城市防范自然灾害的驱动因素的最终模型。这些标准是通过研究 10 个大城市的 150 名专家和城市管理者的记录并利用德尔菲模型的意见提取出来的。综合结果为 8 个标准和 70 个次级标准,这些标准是根据每个研究地区的具体情况进行分类的。为了得到一个多维度的综合模型,采用了 PROMETHEE 和 GAIA 结构方法。PROMETHEE 的研究结果表明,伊朗大城市防范自然灾害的最有效标准是机构-管理和社会-公民。此外,根据 GAIA VISUAL 的结果,全面备灾计划和灾害分布图被确定为备灾的重要驱动因素和先决条件。GAIA 的结果还显示,关于地方政府融资方面的挑战,经济标准(基于灾害的投资、应急预算和业务连续性培训)是伊朗大城市防备自然灾害的主要促进因素和加速因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structural Analysis of Pre-hazard Preparedness Criteria in Iranian Large Cities
Studies have shown that Iranian large cities have experienced the most casualties and damages from natural hazards in 2010–2020 due to structural reasons. This research aims to extract, classify and determine the final model of drivers affecting the preparedness of these cities against natural hazards. The criteria were extracted by studying records and using the Delphi model’s opinions of 150 experts and city managers in 10 large cities. The combined output was 8 criteria and 70 sub-criteria that were assorted by considering the particular conditions of each study area. To obtain a multi-dimensional and comprehensive model, PROMETHEE and GAIA as structural methods have been used. PROMETHEE findings indicated that the most effective criteria for preparedness in large cities of Iran against natural hazards are institutional-managerial and social-citizenship. Also, based on GAIA VISUAL results, the comprehensive disaster preparedness plan and hazard mapping were identified as vital drivers and prerequisites of hazard preparedness. The output of GAIA has also shown that regarding the challenges of local government financing, the economic criteria (hazard-based investment, emergency budget and business continuity training) were the main facilitators and accelerators of the preparedness of Iranian large cities against natural hazards.
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来源期刊
Environment and Urbanization ASIA
Environment and Urbanization ASIA ENVIRONMENTAL STUDIES-
CiteScore
2.70
自引率
0.00%
发文量
24
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