伊朗巴博勒社区地震恢复力物理指标分析

IF 0.1 Q4 EDUCATION & EDUCATIONAL RESEARCH
Morteza Shojaee, M. Zare, B. Akasheh, A. Taghizadeh, Arezoo Dorostian
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引用次数: 0

摘要

近年来,城市管理者最重要的目标之一是规划应对自然灾害,特别是地震的能力。巴博尔是伊朗北部马赞达兰省人口第二大城市,由于靠近里海和阿尔布尔茨北部两条活动断层,因此容易发生地震。本研究的目的是评估巴博尔22个社区恢复率的有效物理指标。研究方法为描述性分析法和应用发展法。因此,在与城市规划、危机管理和地震方面的专家和教授协商后,通过KMO测试,提取了48个物理维度的有效指标,并对其适用性进行了评估。然后,通过因子分析将所选指标简化为四个因子,占方差的61.9%。在这四个因素中,仅第一个因素就占了24.8%的方差,SHOJAEE,M.等人,《巴布尔社区地震反应的物理指标分析》,IRAN Geosaberes,Fortaleza,v.11,p.364-3802020。365是研究中影响最大的因素,方差为10.3%的第四个因素影响最小。聚类分析用于邻域的同质分类,Babol的22个邻域被分为8个同质组。聚类方法的结果表明,大约40.9%的邻域被评估为非常差、差和相对差,并且通常处于不理想的条件下。此外,约18.2%的社区处于中等水平,约40.2%的社区在身体弹性方面被评估为良好、非常好、优秀和非常优秀。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANALYSIS OF PHYSICAL INDICES IN EARTHQUAKE RESILIENCE OF BABOL NEIGHBORHOODS, IRAN
In recent years, one of the most important goals of urban managers has been the planning for resilience to natural disasters, especially earthquakes. Babol, as the second most populous city of Mazandaran province in northern Iran, is exposed to earthquakes due to its proximity to two active faults, the Caspian Sea and northern Alborz. The purpose of this study was to evaluate the effective physical indicators in the resilience rate of 22 neighborhoods of Babol. The research method is descriptive-analytical and applied-developmental. Accordingly, 48 effective indicators in the physical dimension were extracted and evaluated for their suitability through KMO test in consultation with experts and professors in urban planning, crisis management and earthquake. Then, the selected indices were reduced to four factors by factor analysis, which accounted for 61.9% of the variance. Among the four factors, the first factor alone accounted for 24.8% of the variance, which SHOJAEE, M. et al. ANALYSIS OF PHYSICAL INDICES IN EARTHQUAKE RESILIENCE OF BABOL NEIGHBORHOODS, IRAN Geosaberes, Fortaleza, v. 11, p. 364-380, 2020. 365 is the most influential factor in the study, and the fourth factor with 10.3% of the variance has the least effect. Cluster analysis was used for homogeneous classification of the neighborhoods and Babol's 22 neighborhoods were classified into 8 homogeneous groups. The results of clustering method show that about 40.9% of neighborhoods are evaluated as very poor, poor and relatively poor and in undesirable conditions in general. Also, about 18.2% of the neighborhoods are in the medium level and about 40.2% of the neighborhoods are evaluated as good, very good, excellent and very excellent levels in terms of physical resilience.
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来源期刊
Geosaberes
Geosaberes EDUCATION & EDUCATIONAL RESEARCH-
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