عنوان مقاله [English]
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, t-test 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 single-sample T test. The results of the T-test 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 P-value (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.
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 quasi-tribal and quasi-traditional 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 sub-indicators such as urban justice (social justice and social justice).
The method of this study is descriptive-analytical. The data were collected by field research and questionnaire and randomly distributed in Noorabad city. Descriptive and inferential analysis of data was done by T-Test in SPSS software and structural equation modeling in AMOS software was used to explain and model the effects.
Results and discussion:
Findings of the second-order 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 sub-indicators 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 sub-indices 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.
The results of single sample T-test 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 second-order 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 second-order 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).