Analysis of urban alleviation criteria in the central crime centers of Tehran (districts 11 and 12)

Document Type : Independent Research Articles

Authors

1 Ph.D. candidate in Geography and Urban Planning, Department of Human Geography, Faculty of Geography, University of Tehran, Iran

2 Assistant Professor, Department of Geomorphology, Faculty of Science and Earth, University of Damghan, Iran

3 PhD in Geography and Urban Planning and Researcher of ACECR, Lorestan Branch, Iran

4 MA in Geography and Urban Planning, Department of Human Geography, Faculty of Science and Earth, Shahid Beheshti University, Iran

Abstract

The purpose of this study was to analyze the urban alleviation criteria in central crime centers of Tehran (districts 11 and 12) against earthquakes. The research methodology in this research was descriptive-analytical and purposeful for the purpose of this research, and the data were collected by means of documentary and survey methods. The statistical population consisted of residents of crime centers of 11th and 12th districts of Tehran. The sample size was 384 according to Cochran formula. They were randomly selected. To analyze the data, one-sample t-test, Pearson correlation and Friedman correlation were used. The results of single-sample t-test showed that the mean of satisfaction of residents in social dimensions is 2.33, economic 2.9, institutional 1.87 and physical body 2.47 are at the lower level. Pearson correlation was also used to investigate the correlation coefficients of resiliency with total resiliency. This test showed that the quadruple dimensions of resiliency have a direct and significant relationship with total resiliency, that is, by increasing each resilience dimension by the total amount urban resilience is also added. The results of Friedman test showed that the physical dimension (3.11) was ranked first and economic dimension (2.58) was in the second place, social dimension (2.28) was in the third place, and institutional dimension (2.04) is ranked fourth, which is set as the least important dimension.

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