Comparing FAHP and FANP Methods in Locating Multi-storey Parking Sites Shiraz’s CBD

Dehghani, Alireza; Soltani, Ali · 2024 · Crossref

DOI: 10.25034/ijcua.2024.v8n1-8

archive: archived pipeline: cataloged verified

Get this paper ↗ (DOI — opens at the source; we link to it, we don't host it)

Summary

This study addresses the critical shortage of parking spaces in Shiraz’s Central Business District (CBD), Iran, which contributes to traffic congestion, accidents, and air pollution. Motivated by the lack of effective frameworks for selecting multi-story parking locations in Iranian cities, the research aims to develop a comprehensive decision-making model to identify optimal sites for vertical parking infrastructure. The study specifically compares the efficacy of two fuzzy multi-criteria decision-making (MCDM) methods: the Fuzzy Analytic Hierarchy Process (FAHP) and the Fuzzy Analytic Network Process (FANP), integrated with Geographic Information Systems (GIS). The methodology involved a four-step process: data collection, identification of suitability factors, weighting of factors using FAHP and FANP, and spatial mapping. Five key criteria were evaluated: distance to travel attraction centers, distance to roads, land price, population density, and available land for multi-story structures. Data were sourced from Shiraz municipality maps and master plans. Expert judgments from fifteen professionals were collected via questionnaire and converted into triangular fuzzy numbers. These weights were calculated using MATLAB and applied to GIS layers in ArcMap through Weighted Overlay Analysis. The FAHP treated criteria hierarchically, while the FANP accounted for interdependencies among criteria. Suitability scores were categorized into five levels, with sites scoring above 0.5 deemed "most appropriate." The results indicated that both methods produced similar spatial outcomes, identifying districts 13, 14, 15, 16, 17, and 18 as the most suitable locations for multi-story parking facilities. District 13 emerged as the standout candidate in both analyses. In terms of criterion weighting, "distance to travel attraction centers" was the most influential factor in both models, followed by "distance to roads," "land price," "population density," and "available land." While the overall rankings were consistent, slight variations existed; for instance, FAHP assigned higher weight to road proximity, whereas FANP prioritized land price and population density more heavily. The consistency ratios for both methods were satisfactory (0.12 for FAHP and 0.13 for FANP). The study concludes that while both FAHP and FANP provide robust frameworks for parking site selection, the FAHP model is superior for practical urban planning due to its user-friendliness and ease of application for policymakers. The findings offer actionable insights for strategic investment in Shiraz’s parking infrastructure, suggesting that prioritizing southern zones and locations near major trip generators can effectively mitigate congestion. This research contributes to urban transportation literature by demonstrating the utility of integrating fuzzy MCDM with GIS to address complex urban planning challenges in emerging economies.

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed.

Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

• urban rural setting