Volume 15, Issue 2 (Summer-In Press 2025)
Disaster Prev. Manag. Know. 2025, 15(2): 7-7 |
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:
Khodabandehlou E A, Hemmasi A H, Lahijanian A, Hassani A H, Mohammadi A. Assessing the Physical and Infrastructural Resilience of the Operational Areas of Fire Stations in District 20 of Tehran Using GIS System. Disaster Prev. Manag. Know. 2025; 15 (2) :7-7
URL: http://dpmk.ir/article-1-739-en.html
URL: http://dpmk.ir/article-1-739-en.html
Eslam Ali Khodabandehlou1 
, Amir Hooman Hemmasi2 , Akramolmoluk Lahijanian1 , Amir Hesam Hassani1 , Ali Mohammadi1
, Amir Hooman Hemmasi2 , Akramolmoluk Lahijanian1 , Amir Hesam Hassani1 , Ali Mohammadi1
1- Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2- Department of Industry and Energy Engineering, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2- Department of Industry and Energy Engineering, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Abstract: (161 Views)
Objective: The main and practical objective of the present study is to assess the physical and infrastructural resilience status in District 20 of Tehran using a Geographic Information System (GIS).
Research Method: The present study method is an applied one that has been standardized using a hierarchical evaluation model and Arc GIS10.6 software. The research tool is a researcher-made questionnaire whose validity index (CVR) was calculated as 0.49 through expert opinion and its reliability was calculated as 0.82 through Cronbach's alpha and SPSS22 software. The statistical population of the study was selected from 7 fire stations with 273 personnel. The sampling method was simple random and the Cochran formula was used to determine the sample size. The weight of the factors was calculated using Expert Choice11 software and the rate of inconsistency of judgments was calculated, and the inconsistency coefficient was less than 0.1. In the present study, the final resilience map of Region 20 was prepared by first stratifying each of the main criteria and sub-criteria using the weights obtained from the AHP method in the Arc GIS 10.6 software environment and by overlaying the layers.
Findings: An examination of 3 criteria, 7 sub-criteria, and 21 spatial indicators to evaluate spatial resilience in Region 20 indicates that based on the importance coefficient, the prioritization of resilience criteria was determined as follows: infrastructure resilience with a weight of 0.731, physical resilience with a weight of 0.58, and environmental resilience with a weight of 0.081.
Conclusion: Based on the results obtained from the spatial resilience zoning map in the face of HSE risks in the study area, 3.3 percent of the area (729,718 square meters) has low resilience, 35.38 percent (7,802,578 square meters) has medium resilience, 29.54 percent (6,513,646 square meters) has high resilience, 30.1 percent (6,639,824 square meters) has very high resilience, and 1.65 percent (364,196 square meters) has very high resilience.
Research Method: The present study method is an applied one that has been standardized using a hierarchical evaluation model and Arc GIS10.6 software. The research tool is a researcher-made questionnaire whose validity index (CVR) was calculated as 0.49 through expert opinion and its reliability was calculated as 0.82 through Cronbach's alpha and SPSS22 software. The statistical population of the study was selected from 7 fire stations with 273 personnel. The sampling method was simple random and the Cochran formula was used to determine the sample size. The weight of the factors was calculated using Expert Choice11 software and the rate of inconsistency of judgments was calculated, and the inconsistency coefficient was less than 0.1. In the present study, the final resilience map of Region 20 was prepared by first stratifying each of the main criteria and sub-criteria using the weights obtained from the AHP method in the Arc GIS 10.6 software environment and by overlaying the layers.
Findings: An examination of 3 criteria, 7 sub-criteria, and 21 spatial indicators to evaluate spatial resilience in Region 20 indicates that based on the importance coefficient, the prioritization of resilience criteria was determined as follows: infrastructure resilience with a weight of 0.731, physical resilience with a weight of 0.58, and environmental resilience with a weight of 0.081.
Conclusion: Based on the results obtained from the spatial resilience zoning map in the face of HSE risks in the study area, 3.3 percent of the area (729,718 square meters) has low resilience, 35.38 percent (7,802,578 square meters) has medium resilience, 29.54 percent (6,513,646 square meters) has high resilience, 30.1 percent (6,639,824 square meters) has very high resilience, and 1.65 percent (364,196 square meters) has very high resilience.
Keywords: Physical Resilience, Infrastructural Resilience, GIS, Tehran Fire Department, District 20 of Tehran city
Type of Study: Research |
Subject:
Special
Received: 2024/12/29 | Accepted: 2025/03/15 | ePublished: 2025/09/19
Received: 2024/12/29 | Accepted: 2025/03/15 | ePublished: 2025/09/19
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |