An Analysis of the State of City Neighborhoods from the Perspective of Urban Resilience Components the Case Study of Tonekabon Neighborhoods

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Article Type:
Case Study (دارای رتبه معتبر)
Abstract:

Due to its special natural and geographical conditions, the city of Tonekabon is susceptible to many shocks, including earthquakes and floods, which brings the need to pay attention to urban resilience. The present study was conducted to analyze the state of urban neighborhoods from the perspective of urban resilience components. This research is applied in terms of purpose and descriptive-analytical method. The research's statistical population was comprised of citizens living in Tonekabon city. Using Cochran's formula, the statistical sample size was estimated to be 384 people. The data collection tool was a questionnaire, the validity of which was verified in the form of face and face validity, as well as divergent validity and reliability of the questionnaire using Cronbach's alpha and composite reliability. Analysis of data and information was done using SPSS and PLS software programs. The findings of this research showed that the overall resilience of Tonekabon city is in an unfavorable situation. In such a way, the average experimental value obtained for the overall resilience of the city and its dimensions was lower than the average value of 3. Among the localities of the studied area, Karim Abad neighborhood, in which the overall average obtained was equal to 2.78, was in a better condition than other localities, and Tonekabon neighborhood, according to the average (2.39), was in an unfavorable condition among the studied localities. Among the other research findings, among the components of urban resilience, the physical factor with a path coefficient of 0.490 has the most significant impact and was ranked first, followed by the economic factor with a path coefficient of 0.348. In third place is the administrative, institutional factor with a path coefficient of 0.327 and in fourth place is the social dimension with a path coefficient of 0.264.

Language:
Persian
Published:
Geographical Planning of Space Quarterly Journal, Volume:13 Issue: 50, 2024
Pages:
21 to 39
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