Socio-Economic Structures Affecting Resilience of Rural Settlements to Earthquake (Case Study: Kanduleh, Sahneh County)

S. Azimi, M. Akbarpour, A. Azmi
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Abstract

Purpose: The proper planning for disaster management in local communities does not merely address the vulnerability of the areas and requires the understanding of resilience. This is because identifying the resilience indicators and assessing the strengths and weaknesses if properly managed, can reduce the vulnerability of each community to natural disasters. Methods: This is an applied research in terms of purpose and has a descriptive-analytical nature and is conducted using the survey method and questionnaire tool. The collected data are analyzed by SPSS software. In this study, the researchers investigate the socio-economic structures affecting the resilience of rural settlements and rank the villages of the region in terms of resilience using the TOPSIS FUZZY method by applying the resilience indicators in different dimensions (social, economic, institutional-infrastructural, etc.). The statistical population includes all 18 inhabited villages of Kanduleh County which are studied by random sampling. Results: The results indicate the low resilience level of Kanduleh villages, and the economic and social factors have a significant role in increasing the resilience of the rural settlements. In addition, there was a significant correlation between different socio-economic, infrastructural and institutional dimensions, social capital, etc. However, there was no significant relationship between the service factor and the dependent variable of socio-economic factors in the villages. Conclusion: According to the results of the study, the villages of this district were ranked into 8 levels. Tazeh Abad had the highest resilience among the villages, while Kortavij Olya had the lowest resilience.
影响农村居民点抗震能力的社会经济结构(案例研究:萨赫尼县Kanduleh)
目的:当地社区灾害管理的适当规划不仅要解决该地区的脆弱性问题,还需要了解复原力。这是因为,如果管理得当,确定复原力指标并评估优势和劣势,可以减少每个社区对自然灾害的脆弱性。方法:本研究是一项应用研究,具有描述性分析性质,采用调查法和问卷调查工具进行。收集的数据用SPSS软件进行分析。在本研究中,研究人员研究了影响农村聚落弹性的社会经济结构,并采用TOPSIS FUZZY方法,通过不同维度(社会、经济、制度基础设施等)的弹性指标,对该地区的村庄进行了弹性排名。统计人口包括采用随机抽样方法研究的Kanduleh县所有18个有人居住的村庄。结果:研究结果表明,甘都勒村恢复力水平较低,经济和社会因素对乡村聚落恢复力的提高有显著作用。此外,不同的社会经济、基础设施和体制层面、社会资本等之间也存在显著的相关性。然而,服务性因素与社会经济因素的因变量之间没有显著的相关关系。结论:根据研究结果,将该区村庄划分为8个等级。Tazeh Abad村的恢复力最高,Kortavij Olya村的恢复力最低。
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