Site Selection of Car Parking With the GIS-Based Fuzzy Multi-Criteria Decision Making

Alireza Dehghani, Ali Soltani

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Rapid motorization and uncertainty in urban growth patterns make parking space management a serious task, especially in middle-income developing countries, and this has severe social, economic, and environmental repercussions including increased congestion, crash frequency, fuel and time consumption, and air pollution. Due to the complexity of the urban transportation issue and the wide variety of variables involved, a multicriteria assessment is essential. This study used fuzzy logic and geographical information systems (GIS) to develop a multi-criteria decision making (MCDM) model for managing parking in Shiraz's central business district (CBD). The literature was mined for information on the variables that affect parking site placement, and a poll of experts (<FOR VERIFICATION>n = 11) was used to determine their relative importance. The distance to travel attraction centers, distance to roads, land price, population density, and available land for multi-storey parking were among the factors considered. Meanwhile, the parking space shortage for each TAZ is calculated by subtracting the estimated parking space supply from the estimated parking space demand. An overlay of these two layers distinguishes locations that are in parking shortage zones and also meet multiple criteria. The results may aid policymakers in controlling parking demand by pinpointing the most promising places for investment.

Original languageEnglish
Article number2350029
Number of pages26
JournalInternational Journal of Information Technology and Decision Making
Early online date11 Apr 2023
Publication statusE-pub ahead of print - 11 Apr 2023


  • fuzzy MCDM
  • GIS
  • multi-storey parking
  • parking demand estimation
  • site selection
  • Traffic management


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