Bilingual
En/Fa
Geographical Research is Published in both Persian and English Full-text.
Volume 41, Issue 1 (2026)
GeoRes 2026, 41(1): 1001-1038 |
Back to browse issues page
Article Type:
Subject:
History
Received: 2026/02/8 | Accepted: 2026/04/1 | Published: 2026/04/30
Received: 2026/02/8 | Accepted: 2026/04/1 | Published: 2026/04/30
How to cite this article
Yaghmaei Sabegh J, Darskhan R, Abdollahzadeh Taraf A. Investigating physical factors affecting the deterioration of urban neighborhood fabrics using an integrated approach (Case Study: Haft Chenar and Briank Neighborhoods, District 10 of Tehran). GeoRes 2026; 41 (1) :1001-1038
URL: http://georesearch.ir/article-1-1903-en.html
URL: http://georesearch.ir/article-1-1903-en.html
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Rights and permissions
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Abstract (54 Views)
ObjectiveThe objective of this research is to investigate the factors contributing to the deterioration of urban neighborhood fabrics in the Haft Chenar and Briank neighborhoods of District 10, Tehran.
Methodology: This study was conducted in 2024 using a mixed-methods methodology in three sequential stages. Utilizing library studies and semi-structured interviews with 16 experts (Delphi technique), a final list of 100 factors affecting deterioration across six dimensions was identified and extracted through qualitative content analysis. To analyze structural relationships, a cross-impact matrix questionnaire was designed, and its data were analyzed using MICMAC software to classify the components into four categories: influential, dependent, two-faced (linkage), and independent. To assess the current status, a field survey was conducted by distributing 400 questionnaires among residents, and the quantitative data were analyzed using Smart PLS software.
Findings: By extracting 100 influential indicators across six dimensions—physical, economic, social, psychological, environmental, and managerial—this research confirms the multi-dimensional nature of urban deterioration. Structural analysis (MICMAC) revealed a high level of interconnection among these dimensions, with a 91% filling rate of the matrix. 'Plot area and size' was identified as the most fundamental challenge with the lowest score (0.6), while 'type of building unit' received the highest score (4). The managerial dimension, with an average of 2.62, was in the most favorable condition, whereas the economic dimension, with an average of 2.03, was in the most critical state. Causal relationship analysis identified the economy as the strongest influencing factor (particularly on management with a coefficient of 0.570) and management as a key leverage factor (with an impact on psychological and environmental dimensions).
Conclusion: Conclusion: The findings clearly indicate that urban decay is not merely a physical or structural problem, but rather a complex network of dynamic interactions among the physical, economic, social, psychological, environmental, and managerial dimensions.
Methodology: This study was conducted in 2024 using a mixed-methods methodology in three sequential stages. Utilizing library studies and semi-structured interviews with 16 experts (Delphi technique), a final list of 100 factors affecting deterioration across six dimensions was identified and extracted through qualitative content analysis. To analyze structural relationships, a cross-impact matrix questionnaire was designed, and its data were analyzed using MICMAC software to classify the components into four categories: influential, dependent, two-faced (linkage), and independent. To assess the current status, a field survey was conducted by distributing 400 questionnaires among residents, and the quantitative data were analyzed using Smart PLS software.
Findings: By extracting 100 influential indicators across six dimensions—physical, economic, social, psychological, environmental, and managerial—this research confirms the multi-dimensional nature of urban deterioration. Structural analysis (MICMAC) revealed a high level of interconnection among these dimensions, with a 91% filling rate of the matrix. 'Plot area and size' was identified as the most fundamental challenge with the lowest score (0.6), while 'type of building unit' received the highest score (4). The managerial dimension, with an average of 2.62, was in the most favorable condition, whereas the economic dimension, with an average of 2.03, was in the most critical state. Causal relationship analysis identified the economy as the strongest influencing factor (particularly on management with a coefficient of 0.570) and management as a key leverage factor (with an impact on psychological and environmental dimensions).
Conclusion: Conclusion: The findings clearly indicate that urban decay is not merely a physical or structural problem, but rather a complex network of dynamic interactions among the physical, economic, social, psychological, environmental, and managerial dimensions.