Site Selection of Public Multi-Story Parking in Izeh Using the AHP Method and SWOT Matrix

Document Type : Origional Article

Authors

1 Master's student in Urban Planning, Jundi Shapur University of Technology Dezful, Dezful, Iran.

2 Associate Professor, Department of Urban Planning, Jundi-Shapur University of Technology, Dezful, Iran.

Abstract
Background and Objective: The rapid growth of urbanization and the increasing number of vehicles in cities have led to serious issues such as traffic congestion, parking shortages, and a decline in quality of life. Izeh, due to the concentration of commercial and service centers in its central core and the limitations of urban streets, faces a severe parking shortage. This study aims to determine the optimal locations for multi-story public parking facilities in Izeh to alleviate traffic problems and optimize urban parking spaces.
Methodology: This research follows a descriptive-analytical approach, utilizing field studies, document analysis, and expert opinions for data collection. The Analytical Hierarchy Process (AHP) was employed to prioritize location criteria, while the SWOT matrix was used to assess environmental conditions. The key evaluation criteria included population density, traffic volume, accessibility, proximity to commercial centers, available land area, feasibility of construction, and land cost.
Results and findings: The results indicate that the central core of Izeh, due to its high concentration of commercial and administrative activities, has the greatest demand for multi-story parking facilities. The most influential factors in site selection were population density and traffic volume, whereas land cost and physical constraints posed major challenges. Based on the SWOT analysis, the aggressive (SO) strategy was identified as the most effective approach, leveraging available opportunities and strengths to optimize parking facility implementation. The study suggests that private sector investment should be encouraged to overcome execution challenges and enhance project efficiency. Additionally, this model can be applied to other cities facing similar urban parking challenges.

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Volume 6, Issue 3 - Serial Number 21
Winter 2025
Pages 253-265

  • Receive Date 15 January 2025
  • Revise Date 07 February 2025
  • Accept Date 08 March 2025
  • First Publish Date 09 March 2025
  • Publish Date 22 November 2025