Document Type : Research article
Authors
1
PhD Student of Geography and Urban Planning, Tabriz University, Tabriz, Iran
2
Associate Professor of Geography and Urban Planning, Tabriz University, Tabriz, Iran
3
Professor of Geography & Urban Planning Department, Tabriz University, Tabriz, Iran
10.22059/jurbangeo.2024.366648.1870
Abstract
Purpose: The present study aims to combine physical, socioeconomic, and traffic criteria to evaluate and analyze the traffic congestion potential of Urmia City.
Method: This study is applied descriptive-analytical research, where the required data were collected through library and field studies. To achieve the research goal, 25 indices classified under three physical, socioeconomic, and traffic criteria were selected, and their importance coefficients were calculated using the BWM approach. The BWM questionnaires were distributed among 50 elites in two steps (1. Select the best and worst indices, and 2- Complete the paired comparison questionnaire to determine the priority of the best index over other indices and the priority of other indices over the worst index) and the outputs of the questionnaires were entered into the GAMS software to calculate the indices’ importance coefficients.
Results: The “distance from urban cores” and “average land price” indices obtained the highest and lowest weights, respectively. To show the traffic congestion potential of the five districts of Urmia city, the SECA model was implemented in Lingo software with different values of β. The findings divide Urmia City into 5 zones in terms of traffic congestion: very low traffic congestion (13%), low traffic congestion (32%), moderate traffic congestion (21%), high traffic congestion (21%), and very high traffic congestion (15%).
Conclusion: The results indicate that District 4 has the highest traffic congestion potential, followed by Districts 5, 1, 3, and 2, respectively.
Keywords
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