ارزیابی و سنجش شاخص‌های پایداری اجتماعی و نقش آن در رضایتمندی ساکنین شهر نورآباد با استفاده از مدل‌سازی معادلات ساختاری

پایداری اجتماعی شهری درگرو تامین رفاه نسبی، مشارکت شهروندان، تحقق عدالت اجتماعی، امنیت و افزایش بینش اجتماعی برای همه اعضای جامعه است؛ که دست‌یابی به آن از آرمان های مدیریت شهری است. هدف این پژوهش ارزیابی شاخص‌های پایداری اجتماعی و بررسی نقش این متغیر در رضایت‌مندی از زندگی در محلات شهر نورآباد است. حجم نمونه با بهره‌گیری از فرمول کوکران 382 برآورد و پایایی ابزار تحقیق با استفاده از آلفای کرونباخ به مقدار 0.897 محاسبه شد که نشان‌دهنده مطلوبیت ابزار پژوهش است. برای تجزیه ‌و تحلیل توصیفی و استنباطی داده‌ها از آزمون آماری ttest و جهت تبیین و مدل‌سازی اثرات نیز از مدل‌سازی معادلات ساختاری در محیط نرم‌افزار های spss و amos استفاده گردید. در ابتدا وضعیت پایداری اجتماعی با آزمون t تک نمونه‌ای بررسی گشت که نتایج حاصل از این آزمون حاکی از آن است که وضعیت اکثر شاخص‌های پایداری اجتماعی در محدوده موردمطالعه در وضعیت قابل‌قبولی قرار ندارند و تمامی شاخص‌ها با میانگین 2.63 پایین‌تر از حد متوسط اند. تحلیل یافته‌های منتج از مدل‌سازی معادلات ساختاری بیانگر این نکته است که از بین شاخص‌های مورد سنجش پایداری اجتماعی عامل پیاده مداری و سرزندگی شهری بیشترین بار عاملی را با وزن عاملی 78 /0 (با سطح معناداری بیش از 0.95) را دارا می‌باشد. درنهایت مشخص شد که بین پایداری اجتماعی و رضایت‌مندی ساکنین از محلات رابطه مستقیم و معناداری وجود دارد.

Evaluation and Evaluation of Social Sustainability Indicators and its Role in Satisfaction of Noorabad Residents Using Structural Equation Modeling

Urban social sustainability is based on the provision of relative welfare, citizen participation, and the realization of social justice, security, and increased social vision for all members of society. That achievement of its level is one of the most important goals of urban managers. The purpose of this study was to assess the social sustainability indicators in norabad city and examine the role of this variable in satisfying life in urban areas. The sample size was calculated using Cochran’s formula of 382 questionnaires. The reliability of the research tool was estimated using Cronbach’s alpha with a value of 0/879, indicating the utility of the questionnaire. For analyzing the descriptive and inferential statistics, ttest was used in SPSS software. Structural equation modeling in AMOS software was used to explain and model the effects. At first, the social sustainability status was tested by a singlesample T test. The results of the Ttest showed that the majority of social sustainability indices were not in a satisfactory condition and all indicators were 2.63 lower than the average. Analysis of the results of structural equation modeling indicates that among the indices of social sustainability, pedestrian and urban vitality factors have the highest factor load with regression weight (0/78) and Pvalue (0/000). Finally, it was found that between social stability and satisfaction of residents from neighborhoods, the factor weight is 0.50 which indicates the confirmation of the research hypothesis and its significance.Extended AbstractIntroduction:        The city of Noorabad has been experiencing rapid population growth in recent decades, from a population of 2253 in 1345 to more than 71,000 in 1395. This increase in population has been a precursor of urbanization over urbanization. The high population growth of the city and its incompatibility with the physical state, together with the combination of rural texture and accession to the city, and the quasitribal and quasitraditional status of the urban community have led to a certain social status of the city. Social sustainability of the city has undoubtedly strengthened the satisfaction of the urban environment. Therefore, in this study we investigate and explain the most desirable social sustainability indicators in relation to the planned and organic neighborhoods of Noorabad city with subindicators such as urban justice (social justice and social justice).Methodology:The method of this study is descriptiveanalytical. The data were collected by field research and questionnaire and randomly distributed in Noorabad city. Descriptive and inferential analysis of data was done by TTest in SPSS software and structural equation modeling in AMOS software was used to explain and model the effects.Results and discussion:        Findings of the secondorder factor model show that pedestrian and urban vitality had the highest factor loadings of 0.78 and had a better position than the other indices. After that there is the educational factor which is in second place with 0.77 factor load. Urban justice factor with a factor of 0.76 ranked third, followed by public safety factors with a factor of 0.74, with a factor of 0.70, with a factor of 0.70, ranked fifth and sixth, a combined factor of social sustainability with a factor of 0.70. Includes four subindicators of sense of belonging with a factor of 0.93 social trust with a factor of 0.89 Social participation with a factor of 0.59 Social responsibility with a factor of 0.44 ranks seventh and economic factor with a factor of 0.40 in Ranked eighth, the aforementioned factor is divided into three subindices with 0.95 factor loadings of job satisfaction with 0.78 factor loadings and 0.76 factor loadings; It can be said that among the multiple factors of social sustainability in the city of Noorabad, the factor of urban vitality is more important than other factors in people’s view and the research hypothesis that economic factor is the most important factor in the social sustainability of the city of Noorabad is rejected; Monthly purchasing power of regression weight 0.76 among economic variables job satisfaction, job satisfaction with regression weight 0.78 and among investment economic variables, satisfaction with capital investment in city with regression weight 0.46 was highest. Conclusion:          The results of single sample Ttest showed that Noorabad city is in a state of instability in terms of social sustainability indices. Also structural equation modeling was used to identify variables and factors affecting its social sustainability. Then, based on the theoretical foundations of the research, the secondorder factor model was adjusted based on the six variables: hidden, economic, security, urban justice, pedestrian, and sense of belonging, social responsibility, social trust and social participation. Findings of the secondorder factor model show that according to the citizens’ viewpoint, pedestrian factor has the most factor with regression weight (0.78), followed by educational factor with regression weight (0.77). Regression weight (0.74) was ranked third in the public security variable, while the index of social security and the composite index (social trust, social participation, social responsibility, sense of belonging) were jointly ranked fourth (0.70).