Reading and prioritization of influential components on safe city feasibility in Central area of Tehran

Worn tissues are highly prone to crime due to their social, economic, cultural and physical-environmental characteristics. Accordingly, the purpose of this study is Influential components prioritization on inhabitants security of urban worn textures in Central area of Tehran. The present study is applied in terms of purpose and descriptive-analytical in terms of method. The statistical population includes the worn tissues residents in the 11th and 12th districts of Tehran.The sample size is estimated at 400 based on the Cochran's formula. Various methods have been used for analysis for the safety assesment of residents such as confirmatory factor analysis, Bartlett, Kalmogorov-Smirnov test, correlation coefficient matrix and path analysis. LISREL8.8 software is used for data analysis. The results of Kiser / Meyer / Alkin (KMO) sampling adequacy tests are equal to 0.66. As a result, the adequacy of the number of samples is confirmed. Based on Bartlett significance test (P <0.001; df = 105; X2 = 040/740), is rejected the hypothesis of no correlation between variablesThe research findings has indicate that based on the results of Kalmogorov-Smirnov test, the distribution of all relationships is normal in the components and variables of the research. The amount of T-statistics for research variables including feeling of security, lighting, passages, pattern of activities and uses, quality of residential areas, form of space, citizen identity, population density, social monitoring, employment and housing are equal to 10.52, 8/29 , 5/18, 9/62, 8/79, 9/88, 10/29, 7/11, 4/56, 9/61 and 8/69 respectively. These variables have a significant effect on the security of worn textures residents in the central area of Tehran, considering the value of T-statistics and their appropriate level of significance (0.001). According to the route analysis model, the component of feeling safe had the most effect with a coefficient of 0.20. Then, components have had the greatest impact such as Lighting(with a coefficient of 0.15), passages(0.14), pattern of activities and uses(0.10), quality of residential areas(0.09), form of space(0.07), identity of citizens(0.06), population density(0.05), social monitoring(0.03) and finally employment(0.04).