Urban Planning
ESMAEL NASIRI HENDEH KHALEH; fazlollah esmaeili; REYHANEH YOUNESI SANDI; hassan nezafat takleh
Abstract
Introduction
Over the past few decades, the social sustainability of urban areas has become an important planning model in developed countries. The present study aims to assess the social sustainability of urban neighborhoods in District 15 of Tehran with an emphasis on the land-use mix index. The land-use ...
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Introduction
Over the past few decades, the social sustainability of urban areas has become an important planning model in developed countries. The present study aims to assess the social sustainability of urban neighborhoods in District 15 of Tehran with an emphasis on the land-use mix index. The land-use mix and distribution of activities are among the factors affecting the social sustainability of urban neighborhoods. These two factors are examined with items such as accessibility of land-uses, distribution of land-uses, diversity and equality of land-uses, age and compatibility of land-uses, design considerations in land-use planning are examined. And social sustainability, as a dependent variable, is investigated at the urban neighborhood level with items such as involvement and empowerment of local communities, sense of belonging to neighborhoods, security and health, capital and social solidarity, the cultural identity of neighborhoods, vitality of neighborhoods, social accountability and sense of neighborhood.
Data and Method
The present study is applied, descriptive-survey research in which data are collected using both library and field studies. Using a library study, the required indices are extracted by reviewing relevant studies and theories on land-use mix and sustainability. First, the land-use mix measure of each neighborhood is calculated using Shannon entropy and the studied indices in the neighborhoods are ranked using the COPRAS method. Due to the lack of a standard questionnaire on the research subject, a researcher-made questionnaire is used. The statistical population includes urban managers and experts as well as the residents of the study areas. The sample size is estimated to be 385 using Cochran's formula. The questionnaires are distributed according to the population of the neighborhoods. The reliability of the questionnaire is estimated to be above 0.8 using Cochran's alpha, indicating that the items or questions are fully related to each other. To analyze the relationships between variables. Spearman's correlation coefficient, descriptive and inferential statistical methods such as one-sample t-test and Kruskal-Wallis test, are used in SPSS software.
Results and Discussion
In total, 81.2% of the respondents are men and 17.9% are women. Most of the respondents are in the 38-52 age group. The results of Shannon entropy show the weights of each land-use mix index, with the greatest weight (0.9943) for the component of accessibility to land-uses and the least weight (0.7542) for the component of design considerations in land-use planning. The studied neighborhoods are at different levels in terms of social sustainability; so the neighborhoods of North Afsariyeh (NJ= 98.23), South Afsariyeh (NJ= 96.83), and North Kianshahr (NJ=84.23) have the best situation in the land-use mix indices while the neighborhoods of Hashemabad (NJ = 27.043), and Minayi (NJ = 22.43) are in the worst condition.
Conclusion
The results of the research show that in the studied neighborhoods, "accessibility to land-uses" (β = 0.485), "the density of land-uses" (β = 0.482), and "the distribution of land-uses" (β = 0.479) are the most important indices of social sustainability, respectively. The social sustainability of urban neighborhoods is affected by several factors, one of which is the land-use mix index. The present study is conducted to investigate the social sustainability of urban neighborhoods in District 15 of Tehran with an emphasis on the effectiveness of the land-use mix index. To investigate the social sustainability of neighborhoods, the following indicators are studied: involvement of local communities, sense of belonging, security, social capital, cultural identity, vitality, and social accountability. Moreover, to investigate the impact of the land-use mix index on social sustainability, the following indicators are investigated: accessibility of land-uses, land-use density, distribution of land-uses, land-use diversity, age, and compatibility of land-uses, are design considerations in land-use planning. Weighting land-use mix indices using Shannon entropy shows that the greatest weight (0.9943) belongs to the "accessibility of land-uses" component. In the next step, in order to measure the social sustainability of urban neighborhoods, the VIKOR method is used.
Urban Planning
ESMAEL NASIRI HENDEH KHALEH; parasto mohammadibalini
Abstract
Introduction The city is a cultural-physical complex that is formed based on the needs, activities and behaviors of its inhabitants (Pour Mohammadi et al., 2015: 30). Urban spaces are one of the areas of manifestation of human behavior (Bardi Anna Moradnejad and Makran 20: 1398). Attention is paid to ...
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Introduction The city is a cultural-physical complex that is formed based on the needs, activities and behaviors of its inhabitants (Pour Mohammadi et al., 2015: 30). Urban spaces are one of the areas of manifestation of human behavior (Bardi Anna Moradnejad and Makran 20: 1398). Attention is paid to the links between spatial changes in the city and people's behavioral patterns (Abdolhahi Turkmani et al., 2012: 211). It also includes any activity or action that a living being performs, such as "a reflection or set of values based on a person's situation." D (Saeidian, 1382: 52) During the process of socialization, behavior is influenced by culture and by this process; language, customs and traditions, values and expectations are taught (Namazian, 1: 1397) Bahraini states that activities Humans rely on culture, culture creates a pattern of behavior, and this "behavioral pattern determines and expresses how people use spaces" (Bahraini, 2011: 43) Environment of artificial, natural and Their composition is composed. (Farhang Doostfard, 2000, 1997). Data and Method In order to have a normal data distribution, the Kolmogorov-Smirnov test was used. Independent variables of this study include indicators of diversity, flexibility, permeability, visual fitness, readability, sensory richness and variable and behavioral patterns of citizens. . The selection of these variables was done to measure based on theoretical literature and the sources of existing research, as well as interviews with experts in the field of urban planning. In order to measure the questions related to the effect of physical-environmental components on the behavioral pattern of citizens, the Cronbach's alpha obtained is 0.76 and since this value is higher than 0.7, it indicates that the questions related to the variables have a good reliability. The statistical population of this study is the beneficiaries of the use of the space of 30 Tir Street, who have been present at the place of residence from 10:00 AM to 10:00 PM. The sampling method was also random, using cluster sampling with a simple random sampling of 384 people. In order to measure the reliability of the questionnaire, a prototype included 30 over-tested questionnaires. Then, using Cronbach's alpha method, its reliability was checked. This figure was obtained for independent variables of 0.787 and for 0.77 variables, which indicates the necessary reliability of the questionnaire. Results and Discussion The Pearson coefficients correlation matrix between the components of physical components with behavioral patterns can be observed. The results show that there was the highest correlation coefficient between the dimensions of physical components with the behavioral patterns of citizens between permeability (P <0.01, r = 0.0579) and the lowest correlation coefficient between sensory richness and behavioral patterns. . (P <0.01, p = 0.142) In this study, multiple regression analysis between the components of physical components was used as a predictor variable and behavioral patterns were used as a criterion variable by simultaneous method. The results of multiple correlation coefficients indicate that in general, there is a direct relationship between the components of physical components with the behavioral patterns of citizens and significant statistical continuity. (599R =, 01 / 0sig =). In addition, the correlation coefficient shows that by changing the status of physical components, the behavioral patterns of their citizens also increase. 0) and visual fit (0.187) is clearly evident, but in terms of the impact of sensory richness in the study area, this impact on citizens' behavioral patterns has been largely indirect. The value of F is equal to 984.764 and its significance is equal to 0.000 and since it is less than 0.05, its significance is obvious and shows that the dimensions of the independent variables in this study can change the dependent variable. Express. Therefore, considering the calculated value for F at the 99% confidence level, it can be said that the linear composition of the independent variables in this study are also significant and as a result, they are able to predict the variable changes Conclusion The Pearson coefficients correlation matrix between the components of physical components with behavioral patterns can be observed. The results show that there was the highest correlation coefficient between the dimensions of physical components with the behavioral patterns of citizens between permeability (P <0.01, r = 0.0579) and the lowest correlation coefficient between sensory richness and behavioral patterns. . (P <0.01, p = 0.142) In this study, multiple regression analysis between the components of physical components was used as a predictor variable and behavioral patterns were used as a criterion variable by simultaneous method. The results of multiple correlation coefficients indicate that in general, there is a direct relationship between the components of physical components with the behavioral patterns of citizens and significant statistical continuity. (599R =, 01 / 0sig =). In addition, the correlation coefficient shows that by changing the status of physical components, the behavioral patterns of their citizens also increase. 0) and visual fit (0.187) is clearly evident, but in terms of the impact of sensory richness in the study area, this impact on citizens' behavioral patterns has been largely indirect. The value of F is equal to 984.764 and its significance is equal to 0.000 and since it is less than 0.05, its significance is obvious and shows that the dimensions of the independent variables in this study can change the dependent variable. Express. Therefore, considering the calculated value for F at the 99% confidence level, it can be said that the linear composition of the independent variables in this study are also significant and as a result, they are able to predict the variable changes.
