Identification and assessment of hidden capacities of urban resilience

Mahya Ghouchani, Mohammad Taji (), Amirhassan Yaghoubi Roshan and Mohammad Seifi Chehr
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Mahya Ghouchani: Technical and Vocational University (TVU)
Mohammad Taji: Islamic Azad University
Amirhassan Yaghoubi Roshan: Islamic Azad University
Mohammad Seifi Chehr: Islamic Azad University

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2021, vol. 23, issue 3, No 49, 3966-3993

Abstract: Abstract A review of the resilience measurement indicators as a useful tool is a necessity for supporting urban decision making. The main objective of this research is to identify the priorities of resilience criteria to investigate the validity of the urban resilience questionnaire. The four main social, economic, physical, environmental, and institutional resilience indicators were examined by 52 faculty members and experts in urban planning, crisis management, social sciences, urban management, and architecture as a sample population. Then, using exploratory factor analysis by statistical package for social science (SPSS) software, three hidden factors were identified for social and institutional resilience, while four hidden factors were identified for economic and physical–environmental resilience. Finally, after preparing a questionnaire for the region, to evaluate each hidden factor, the use of the method of the mean sum of distances from the optimal resilience limit has been proposed to evaluate the effect of hidden factors. The results show that the distance of the resilience dimensions is close to 1; the city has a good resilience index. As distance close to 0, the city in Ann index has a critical situation and should be necessary measures to increase the resilience of the index. Using this pattern and identifying the criteria distance to optimal extent and measuring the influence of each city, the future cities can be used.

Keywords: Exploratory factor analysis; Urban resilience; Urban planning; Crisis management; SPSS software (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s10668-020-00752-8

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