Determining the Optimal Combination of Urban Transportation Modes

The performance of urban transportation modes is a critical issue for people's mobility. This research analyses various transportation modes in Isfahan city, focusing on social cost minimization and comfort maximization. This study aims to determine the optimal combination of urban transportation modes by considering the appropriate comfort level in Isfahan. The study's results indicate that different allocation models are suitable for different cost-comfort combinations cases. All of these combinations, called Pareto points, are optimal and one of these points can be selected according to the policy-maker opinion. The input data are based on data of origin-destination obtained from the Deputy of Transportation and Traffic of Isfahan Municipality between 189 traffic areas. This data is reduced to 44 integrated areas for the sake of simplicity. The model used in this research is a bi-objective linear programming model. In this research, GAMS software is used for modeling, ArcGIS software is used for data mining, and finally, Excel and SPSS have been applied to analyze the results.