Sustainable urban transportation network design: Data envelopment analysis and game theoric approaches

Selecting and scheduling urban transportation projects is inherently an urban network design problem with a complex decision making process. Recently, a large number of studies have focused on sustainable urban network design problems, using different mathematical methods. Sustainability has three dimensions including social, economic and environment. Therefore, sustainable urban network design is a multi-objective problem. In this thesis, first a new network data envelopment analysis model has been developed. Then, considering sustainability dimensions, by integrating data envelopment analysis, game theory and mathematical modeling approaches, two different efficiency based models have been proposed for selecting and scheduling urban transportation projects. A mathematical approach based on Best-Worst Method is presented to identify and prioritize the evaluation criteria for evaluating sustainable performance of urban transportation networks. A meta-heuristic algorithm is proposed to solve the developed models and different test instances are solved to show the acceptable performance of proposed algorithm in both solution quality and execution time. Afterwards, the proposed models are applied to study the problem of urban transportation projects selection and scheduling in a real-world case study of urban transportation network of Isfahan city in Iran. The results of the case study show that applying obtained solutions by both proposed models, the sustainability of the network has been improved and the network is almost efficient in all evaluation periods.

Journal Articles