Analyzing the state of feeling of social security and Identification of its determinants in urban spaces (Case study: Yasuj city)
Subject Areas :Alma Hassanaghaei Kashkooli 1 , Ali Mehbodi 2 , دنا deymad 3
1 - : Master of Architecture, Yasuj Branch, Islamic Azad University, Yasuj, Iran
2 - Assistant Professor Departement of Civil Engineering, Yasuj Branch, Islamic Azad University, Yasuj, Iran
3 - Master of Urban Planning, Yasuj Branch, Islamic Azad University, Yasuj, Iran
Keywords: Security, sustainable urban development, Yasuj, Sense of Social Security,
Abstract :
There are several concepts in order to achieve sustainable urban development. One of the most important of these elements, sometimes referred to as the fourth pillar of sustainable development, is a sense of social security, due to the existence of an acceptable level of it among citizens, Mental and physical health, sense of identity, participation, happiness, active presence of citizens in different urban spaces, etc. can be expected and conversely. The purpose of the present quantitative and applied research, where documentary data and field studies have been used to collect information, Examining the state of social security and identifying key social and economic factors affecting it Which has been done as a case study in Yasuj. The statistical population of the study consists of all heads of households of which 380 are considered as a statistical sample. Descriptive and inferential statistics in the form of SPSS software were used to analyze the collected data.The results showed that the calculated average for life, financial, value and cultural, family, moral, occupational and economic security status, As the main dimensions of the feeling of social security, respectively with values of 2.87, 2.33, 2.52, 2.39, 2.8 and 1.98, was significantly lower than the baseline (number 3) And General condition of feeling of social security with an average of 2.48, Due to the key dimensions of its component, it is significantly lower than average. The results showed the final and confirmed model of determinants of social security using multivariate regression Among the seven variables that had a statistically significant relationship with the dependent variable of the research, the effect of four variables was significant and in total they were able to explain 51.8% of the variance of the dependent variable. The key variables of identification in order of importance are: Socio-economic status, police performance, social capital and social anomalies (with negative effect) The standardized regression effect coefficients of each of them are: 0.347, 0.228, 0.195 and -0.175, respectively. Extended Abstract Introduction There are several concepts in order to achieve sustainable urban development. One of the most important of these elements, sometimes referred to as the fourth pillar of sustainable development, is a sense of social security, due to the existence of an acceptable level of it among citizens, Mental and physical health, sense of identity, participation, happiness, active presence of citizens in different urban spaces, etc. can be expected and conversely Methodology The purpose of the present quantitative and applied research, where documentary data and field studies have been used to collect information, Examining the state of social security and identifying key social and economic factors affecting it Which has been done as a case study in Yasuj. The statistical population of the study consists of all heads of households of which 380 are considered as a statistical sample. Descriptive and inferential statistics in the form of SPSS software were used to analyze the collected data. Results and discussion The results showed that the calculated average for life, financial, value and cultural, family, moral, occupational and economic security status, As the main dimensions of the feeling of social security, respectively with values of 2.87, 2.33, 2.52, 2.39, 2.8 and 1.98, was significantly lower than the baseline (number 3) And General condition of feeling of social security with an average of 2.48, Due to the key dimensions of its component, it is significantly lower than average. Conclusion The results showed the final and confirmed model of determinants of social security using multivariate regression Among the seven variables that had a statistically significant relationship with the dependent variable of the research, the effect of four variables was significant and in total they were able to explain 51.8% of the variance of the dependent variable. The key variables of identification in order of importance are: Socio-economic status, police performance, social capital and social anomalies (with negative effect) The standardized regression effect coefficients of each of them are: 0.347, 0.228, 0.195 and -0.175, respectively.
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