هنر اسلامی (May 2022)

Assessment and evaluation of social resilience indicators of residential areas (Case study of traditional neighborhoods of Hamadan)

  • Sima Abedi,
  • Hassan Sajadzadeh,
  • Marjan Khanmohammadi

DOI
https://doi.org/10.22034/ias.2022.313651.1792
Journal volume & issue
Vol. 19, no. 45
pp. 446 – 470

Abstract

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Residential textures and neighborhoods, like other urban textures, have been exposed to major challenges and changes due to rapid urban change. Accordingly, the above research aims to explain the comprehensive framework of social resilience in biological assemblies, using a descriptive-analytical method and using a quantitative approach; Using heuristic factor analysis test and structural equation model; It seeks to increase the capacity and resilience of neighborhoods and design resilient bio-complexes. To collect information, the library-documentary method and a questionnaire were used. The statistical population of the study consists of residents of three neighborhoods named Kalpa, Haji and Kababian. The sampling method was simple random and the sample size was calculated based on Cochran's formula of 386 people. In order to measure the internal validity and reliability of the questionnaire, Cronbach's alpha (0.784) and for convergent validity (0.892) the extracted variance (AVE) was used, which indicates the high validity of the questionnaires. dimensions of social capital, including; Social trust, emotional support, social bonding, and social mediation are ranked highest among other dimensions, respectively, based on the variance explained; Among these, the social trust of residents towards local organizations and institutions with a factor load of 0.795 percent is the most important variable constituting the social network index with a total variance of 8.620 percent. The results of the present study, with studies conducted with heuristic factor analysis, show that the four indicators of social capital, including: social network, social participation, social cohesion and social norms, are more effective than other indicators.

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