Evaluation of Sustainable and Intelligent Transportation Processes Considering Environmental, Social, and Risk Assessment Pillars Employing an Integrated Intuitionistic Fuzzy-Embedded Decision-Making Methodology

The intelligent urban transportation system is a significant component of the economic development process of countries. However, the transportation system is one of the largest contributors to greenhouse gas emissions, and transportation accidents may cause environmental damage due to the transport of hazardous materials. Hence, a sustainable transportation system is significant in providing safe, environmentally friendly, and intelligent urban transport modes for economies when achieving sustainable development goals and evaluating environmental, social, and risk assessment pillars. This paper aims to evaluate the sustainable and intelligent urban transportation systems of fifty global economies by using nine main and fifty-six sub-criteria. In this paper, nine main and fifty-six sub-criteria are defined to evaluate the sustainable and intelligent urban transportation systems of fifty global economies. The nine main criteria and their sub-criteria have never been used before for assessing the transportation systems of fifty global economies. The experts’ opinions are asked to deal with uncertainty when generating pairwise comparison matrices for specified criteria. Then, a novel integrated intuitionistic fuzzy-based AHP and VIKOR framework is proposed to assess the sustainable and intelligent urban transportation systems of fifty global economies. Economic (C1), safety (C2), and hazards (C3) are the top three weighted criteria from the results of the framework for evaluating the sustainable and intelligent urban transportation systems of fifty different economies. Also, the environmental impact and utilization (C5) and sustainability (C8) criteria are notable, and they constitute 21.6% of the total weight for the evaluation of sustainable and intelligent transportation processes. Then, several different scenarios and comparison studies are also presented for the fifty global economies. Sweden, the United States, and Denmark are the top three choices for sustainable and intelligent urban transportation systems based on the results. Moreover, managerial recommendations of the application are drawn for sustainable and intelligent transportation processes. Finally, the safe, reliable, sustainable, and intelligent transportation process may positively impact economic, environmental, and social aspects of the development process of global economies when minimizing potential disruptions and risks.