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• Define a comprehensive sustainable urban transportation network (SUTN). • Evaluation criteria for SUTN based on economic, social and environmental factors. • Propose a framework based on Best Worst Method (BWM) to define a SUTN. A truly sustainable urban transportation network (SUTN) needs to be sustainable in all aspects including economic, social and environmental dimensions. Identifying the evaluation criteria for sustainability of urban transportation network (UTN) and evaluating importance of these criteria, are completely critical. While most researches have only focused on economic aspect of transportation systems (TSs), in this paper, by considering economic, social and environmental dimensions, the evaluation criteria for evaluating the sustainability of UTN have been identified. Then a framework based on Best Worst Method, has been proposed to evaluate and prioritize sustainability dimensions and evaluation criteria. To show the usefulness of the proposed model, it is applied to a real-world case study of transportation in Isfahan, one of the largest cities in Iran. The results from this study are used for evaluating and selecting real transportation projects. We have also shown how the proposed framework helps managers and experts for analyzing sustainability of existing UTN, identifying potential strategies, evaluating and selecting new policies or constructing projects to achieve sustainability goals. [ABSTRACT FROM AUTHOR]

• Developing game-network DEA considering sustainability of transportation system. • Introducing a novel hybrid egalitarian bargaining game Data Envelopment Analysis. • Considering economic, social and environmental aspects in analyzing transportation system. • Analyzing a real case study of urban transportation network. Selecting and scheduling urban road construction projects (URCPs) is inherently an Urban Network Design Problem (UNDP) with a complex decision making process. Recently some studies have focused on sustainable UNDP, using different mathematical methods. In this paper, first a new network data envelopment analysis (NDEA) model has been developed. Then, considering sustainability dimensions, by integrating data envelopment analysis (DEA), game theory and sustainable UNDP, a bi-level model has been proposed for selecting and scheduling URCPs. A meta-heuristic algorithm is proposed to solve the presented bi-level model. Different test instances are solved to show the acceptable performance of proposed algorithm in both solution quality and execution time. Afterwards, the proposed model is applied to study the problem of urban road construction projects selection in a real-world case study of urban transportation network of Isfahan city in Iran. The results show that by applying obtained solution the environmental and social performance of the network has been improved and the performance of the network is almost efficient in all evaluation periods. [ABSTRACT FROM AUTHOR]