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Volume 39, Issue 3 (2024)
GeoRes 2024, 39(3): 269-277 |
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Received: 2024/06/6 | Accepted: 2024/07/8 | Published: 2024/07/18
Received: 2024/06/6 | Accepted: 2024/07/8 | Published: 2024/07/18
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Khaki M, Fathi M, Mallaei M. Analysis of Environmental Factors on the Spatial Structure of Industrial Estates in Alborz Province Using the ELECTRE III Method. GeoRes 2024; 39 (3) :269-277
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1- Department of Architecture, Faculty of Technical Engineering, Shamal University, Amol, Iran
2- Department of Architecture, Borujerd Branch, Islamic Azad University, Borujerd, Iran
3- Department of Industrial Management, Ershad-Damavand University, Tehran, Iran
2- Department of Architecture, Borujerd Branch, Islamic Azad University, Borujerd, Iran
3- Department of Industrial Management, Ershad-Damavand University, Tehran, Iran
Abstract (406 Views)
Aims: Industrial estates are essential for the economic advancement of a nation and should be examined from multiple angles. While the geographical environment of these estates has been extensively studied from multiple perspectives, their internal features have received comparatively less scrutiny. Hence, the objective of this paper is to ascertain the spatial preferences within the internal organization of industrial estates in Alborz Province by employing the Analytical Hierarchy Process (AHP) methodology.
Methodology: This study was conducted in 2023 with a focus on practical applications. The study strategy was established by utilizing the Analytical Hierarchy strategy (AHP) and Multi-Criteria Decision Making (MCDM) techniques to identify and prioritize variables. After conducting a literature review, 14 primary variables were selected using the Delphi technique. The SANNA system was then used to assess the priority of these variables in the geographical structure of the "Simin Dasht" and "Baharstan" industrial estates. The study methodology involved extracting spatial data using the space syntax method and giving it priority.
Findings: The road network is the most important environmental factor in determining the spatial organization of industrial estates. Following the road network, the priority of other criteria, in descending order, includes visual connection, grain size, architectural quality, building density, external connection, climate, topography, infrastructure, and greenery. Furthermore, the current spatial arrangement of industrial estates in Alborz Province excels in terms of "visual connectivity" and "road infrastructure," but falls short in terms of "architectural excellence" and "green spaces."
Conclusion: The spatial design of the area is primarily influenced by three key factors: accessibility and connection, physical structure, and geomorphology. Out all the sub-variables, visual connection, road network, and grain size are the most important.
Methodology: This study was conducted in 2023 with a focus on practical applications. The study strategy was established by utilizing the Analytical Hierarchy strategy (AHP) and Multi-Criteria Decision Making (MCDM) techniques to identify and prioritize variables. After conducting a literature review, 14 primary variables were selected using the Delphi technique. The SANNA system was then used to assess the priority of these variables in the geographical structure of the "Simin Dasht" and "Baharstan" industrial estates. The study methodology involved extracting spatial data using the space syntax method and giving it priority.
Findings: The road network is the most important environmental factor in determining the spatial organization of industrial estates. Following the road network, the priority of other criteria, in descending order, includes visual connection, grain size, architectural quality, building density, external connection, climate, topography, infrastructure, and greenery. Furthermore, the current spatial arrangement of industrial estates in Alborz Province excels in terms of "visual connectivity" and "road infrastructure," but falls short in terms of "architectural excellence" and "green spaces."
Conclusion: The spatial design of the area is primarily influenced by three key factors: accessibility and connection, physical structure, and geomorphology. Out all the sub-variables, visual connection, road network, and grain size are the most important.
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