Pattern of Decision-Making Evaluation in Urban Regeneration

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...

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Main Authors: jalal haghighi, saideh Zahra sadat zarabadi, mostafa behzadfar, mojtaba rafiyan
Format: Article
Language:fas
Published: Kharazmi University 2023-06-01
Series:تحقیقات کاربردی علوم جغرافیایی
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Online Access:http://jgs.khu.ac.ir/article-1-4085-en.pdf
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author jalal haghighi
saideh Zahra sadat zarabadi
mostafa behzadfar
mojtaba rafiyan
author_facet jalal haghighi
saideh Zahra sadat zarabadi
mostafa behzadfar
mojtaba rafiyan
author_sort jalal haghighi
collection DOAJ
description 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.
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institution Kabale University
issn 2228-7736
2588-5138
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publishDate 2023-06-01
publisher Kharazmi University
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series تحقیقات کاربردی علوم جغرافیایی
spelling doaj-art-4c787b8e99f4477eaf3b1e9d59f1bf652025-01-31T17:29:56ZfasKharazmi Universityتحقیقات کاربردی علوم جغرافیایی2228-77362588-51382023-06-012369459477Pattern of Decision-Making Evaluation in Urban Regenerationjalal haghighi0saideh Zahra sadat zarabadi1mostafa behzadfar2mojtaba rafiyan3 Department of Urban Planning, Science and Research Branch, Islamic Azad University, Tehran, Iran Department of Urban Planning and Architecture, University of Science and Technology, Iran Department of Urban Planning and Architecture, Tarbiat Modares University, Iran 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.http://jgs.khu.ac.ir/article-1-4085-en.pdfurban regenerationfuzzy inference systemurban inefficiencyqom.
spellingShingle jalal haghighi
saideh Zahra sadat zarabadi
mostafa behzadfar
mojtaba rafiyan
Pattern of Decision-Making Evaluation in Urban Regeneration
تحقیقات کاربردی علوم جغرافیایی
urban regeneration
fuzzy inference system
urban inefficiency
qom.
title Pattern of Decision-Making Evaluation in Urban Regeneration
title_full Pattern of Decision-Making Evaluation in Urban Regeneration
title_fullStr Pattern of Decision-Making Evaluation in Urban Regeneration
title_full_unstemmed Pattern of Decision-Making Evaluation in Urban Regeneration
title_short Pattern of Decision-Making Evaluation in Urban Regeneration
title_sort pattern of decision making evaluation in urban regeneration
topic urban regeneration
fuzzy inference system
urban inefficiency
qom.
url http://jgs.khu.ac.ir/article-1-4085-en.pdf
work_keys_str_mv AT jalalhaghighi patternofdecisionmakingevaluationinurbanregeneration
AT saidehzahrasadatzarabadi patternofdecisionmakingevaluationinurbanregeneration
AT mostafabehzadfar patternofdecisionmakingevaluationinurbanregeneration
AT mojtabarafiyan patternofdecisionmakingevaluationinurbanregeneration