Volume 20, Issue 56 (3-2020)                   jgs 2020, 20(56): 329-348 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

motamedi M, gharavi M. Assessing the Model of Resilience of Cities with Fuzzy Dematel Approach, Case study: Gorgan and Shirvan cities. jgs 2020; 20 (56) :329-348
URL: http://jgs.khu.ac.ir/article-1-3453-en.html
1- Assistant Professor Islamic Azad University of Shirvan , motamedi45@gmail.com
2- PhD student in Geography and Urban Planning, University of Tabriz, Tabriz, Iran.
Abstract:   (4901 Views)
Cities are dramatically turning into complex social, economic, and environmental systems. Each urban system is vulnerable when it can not adapt to its changing conditions and critical situations. Therefore, in recent decades, natural disaster response approaches have introduced a new concept of urban resilience to prepare for disaster as much as possible. Is. Despite the recent attention and the abundant use of the concept of resilience in different areas of theoretical and practical limitations of this concept, this study aims to explain the causal pattern of resilience of cities. The present research is based on the descriptive-causal methodology. The statistical sample of the study was compiled by 35 experts and specialists in urban planning. Fuzzy Dumbled Fan was used to achieve the research goal. The findings of this study showed that based on the values ​​of D-R, among the four metrics of urban resilience, the physical criterion with the value (0.943) was the most effective measure of resilience in the city. Also, based on the D + R values, the physical criterion with the value of (896/2) was identified as the most important resiliency criterion in the city.
Full-Text [PDF 2500 kb]   (1142 Downloads)    
Type of Study: Research | Subject: Geography and Urban Planning

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Applied researches in Geographical Sciences

Designed & Developed by : Yektaweb