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چکیده

در راستای نیل به توسعه پایدار شهری مفاهیم متعددی وجود دارند. یکی از مهم ترین این عناصر که گاهاً از آن به عنوان رکن چهارم توسعه پایدار یاد می شود، احساس امنیت اجتماعی است که به واسطه وجود سطح قابل قبولی از آن در میان شهروندان، می توان سلامت روحی و جسمی، احساس هویت، مشارکت، شادکامی، حضور فعال شهروندان در فضاهای مختلف شهری و ... شهروندان را انتظار داشت و برعکس. هدف پژوهش کمی و کاربردی حاضر، که در آن برای گردآوری اطلاعات از داده های اسنادی و مطالعات میدانی استفاده شده است، بررسی وضعیت احساس امنیت اجتماعی و شناسایی عوامل کلیدی اجتماعی و اقتصادی موثر بر آن است که به صورت مطالعه موردی در شهر یاسوج انجام گرفته است. جامعه آماری پژوهش را کلیه سرپرستان خانوار تشکیل می دهد که از میان آن ها 380 نفر به عنوان نمونه آماری در نظر گرفته شده اند. برای تجزیه و تحلیل داده های گردآوری شده شده از آماره های توصیفی و استنباطی در قالب نرم افزار SPSS استفاده شده است.نتایج پژوهش نشان داد میانگین محاسبه شده برای وضعیت امنیت جانی، مالی، ارزشی و فرهنگی، خانوادگی، اخلاقی و شغلی و اقتصادی، به عنوان ابعاد اصلی احساس امنیت اجتماعی، به ترتیب با مقادیر 87/2، 33/2، 52/2، 39/2، 8/2 و 98/1، به صورت معناداری پایین تر از حد مبنا (عدد 3) بوده است و وضعیت کلی احساس امنیت اجتماعی با میانگین 48/2، به تبعیت از ابعاد کلیدی تشکیل دهنده آن، به صورت معناداری پایین تر از حد متوسط می باشد. نتایج مدل نهایی و تأیید شده تعیین کننده های احساس امنیت اجتماعی با استفاده از رگرسیون چندمتغیره نشان داد در میان هفت متغیری که دارای ارتباط آماری معنادار با متغیر وابسته پژوهش بوده اند، اثر چهار متغیر معنادار بوده و در مجموع توانسته اند 8/51 درصد واریانس متغیر وابسته را تبیین نمایند. متغیرهای کلیدی شناسایی به ترتیب اهمیت عبارت اند از: پایگاه اقتصادی اجتماعی، عملکرد پلیس، سرمایه اجتماعی و ناهنجاری های اجتماعی (دارای اثر منفی) که ضرایب تأثیر رگرسیونی استانداردشده هر یک از آن ها به ترتیب عبارت است از: 347/0، 228/0، 195/0 و 175/0-.

Analyzing the state of feeling of social security and Identification of its determinants in urban spaces (Case study: Yasuj city)

  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     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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