Volume 22, Issue 64 (3-2022)
jgs 2022, 22(64): 329-347 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
bagheri maragheh N, motamedi M, mafi E. (2022). Assessing the resilience of Shirvan city in the face of earthquakes. jgs. 22(64), 329-347. doi:10.52547/jgs.22.64.329
URL: http://jgs.khu.ac.ir/article-1-3797-en.html
URL: http://jgs.khu.ac.ir/article-1-3797-en.html
1- Ph.D. student of geography and urban planning of Shirvan Azad University, Iran
2- Assistant Professor, Department of Geography and Urban Planning Azad University of Shirvan, Iran ,motamedi45@gmail.com
3- Associate Professor of Geography and Urban Planning Azad University of Shirvan, Iran
2- Assistant Professor, Department of Geography and Urban Planning Azad University of Shirvan, Iran ,
3- Associate Professor of Geography and Urban Planning Azad University of Shirvan, Iran
Abstract: (5367 Views)
Abstract
Explaining the relationship between resilience to natural disasters is in fact how social, economic, institutional and physical capacities affect the increase of resilience in societies. Accordingly, the purpose of this study is to investigate the resilience of Shirvan city in the face of earthquakes in which the research method is descriptive-analytical and the statistical population includes experts in the field of urban resilience for this group of 30 people. First, the indicators evaluated to assess the resilience of Shirvan city in the face of earthquake hazards using the ANP model, which were questioned by experts and elites, were 25 indicators in 4 physical, institutional, cultural, social and economic criteria. Paired comparisons were performed. Findings showed that the rate of resilience in Shirvan is low in 65.4% of the city and high in only 19.2% of the city. In other words, in 17 neighborhoods out of 26 neighborhoods of Shirvan city, the rate of resilience in the face of earthquake hazards is low and only in 5 neighborhoods of the city the rate of resilience is high. Therefore, the final results of resilience in Shirvan are 19.2% of the upper city, 15.4% of the average city and 65.4% of the lower city. In general, the results indicate that the resilience of Shirvan is in an unfavorable and unfavorable situation and the rate of resilience in this city is low in the face of earthquake hazards.
Explaining the relationship between resilience to natural disasters is in fact how social, economic, institutional and physical capacities affect the increase of resilience in societies. Accordingly, the purpose of this study is to investigate the resilience of Shirvan city in the face of earthquakes in which the research method is descriptive-analytical and the statistical population includes experts in the field of urban resilience for this group of 30 people. First, the indicators evaluated to assess the resilience of Shirvan city in the face of earthquake hazards using the ANP model, which were questioned by experts and elites, were 25 indicators in 4 physical, institutional, cultural, social and economic criteria. Paired comparisons were performed. Findings showed that the rate of resilience in Shirvan is low in 65.4% of the city and high in only 19.2% of the city. In other words, in 17 neighborhoods out of 26 neighborhoods of Shirvan city, the rate of resilience in the face of earthquake hazards is low and only in 5 neighborhoods of the city the rate of resilience is high. Therefore, the final results of resilience in Shirvan are 19.2% of the upper city, 15.4% of the average city and 65.4% of the lower city. In general, the results indicate that the resilience of Shirvan is in an unfavorable and unfavorable situation and the rate of resilience in this city is low in the face of earthquake hazards.
Type of Study: Research |
Subject:
Geography and Urban Planning
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
This work is licensed under a Creative Commons — Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)