Sirous Rahimzadeh Sisibig, Alireza Shichaslami, Kianoosh Zakerhaghighi,
Volume 22, Issue 66 (10-2022)
Abstract
In this regard, the main purpose of this study is to investigate the role of non-governmental organizations in improving the urban management system of Tehran metropolis in six physical, functional, social, economic, environmental and institutional dimensions. The research method was descriptive-analytical and the data collection method was documentary and survey. The research tool was a questionnaire. The statistical population of the study was the citizens of Tehran and the sample size was 383 people. The data were analyzed using T-test and confirmatory factor analysis. The results show that the level of significance in all dimensions is lower than 0.05; Therefore, according to the average scores, NGOs in Tehran have mainly played a greater role in the social and environmental dimensions and in the economic and institutional dimensions in the form of an intermediary relationship between urban management and citizens. In the framework of confirmatory factor analysis, comparison of explanatory variance by six factors showed that social, environmental, functional, physical, economic and institutional factors have the highest variance in explaining the role of factors in the urban management system of Tehran. A total of 20 main factors in explaining the role of semen were confirmed; Thus, it was found that the Samanids, given that they are in direct contact with citizens, can accurately reflect urban issues and realities to the urban management system; For this purpose, it is suggested that first, according to their different functions, the subdivisions should be classified into specialized subdivisions on various urban issues, and also their position in the urban management system should be upgraded.
Jalal Haghighi, Saideh Zahra Sadat Zarabadi, Mostafa Behzadfar, Mojtaba Rafiyan,
Volume 23, Issue 69 (7-2023)
Abstract
Evaluation is one of the most important necessities in the process of urban regeneration, which leads to the optimal decision to solve the problem of urban inefficiency. Evaluating decisions in the urban regeneration process, given its complexity, ambiguity and uncertainty, is a critical issue that requires identifying the criteria that affect its realization and using fuzzy decision-making methods. The purpose of this study is to introduce a fuzzy Delphi method based on qualitative reasoning to identify and localize the criteria affecting urban regeneration. The research method is a combination of quantitative and qualitative methods. The present study is applied in terms of developmental goal and descriptive-analytical in terms of researcher action. The content analysis method was used to develop the conceptual model of the research and the fuzzy inference system (FIS) and Matlab and SPSS software were used to analyze the components and criteria of urban regeneration. To obtain the required data for the research, open and closed questionnaires were distributed among experts and the expert group. Then, the obtained data were entered into the fuzzy inference system and their output was considered as research findings. According to the results of the study, 18 criteria were identified to evaluate the regeneration policy. These criteria were reduced to 12 criteria in the final selection stage, which was done by Delphi interview method. The results show that the most important and insignificant components of urban regeneration in Qom are economic, functional, physical, managerial, social and environmental components, respectively. General Transportation and Access to Urban Management Safety and Health, Housing and Infrastructure.
