Smart Transportation Behavior through the COVID-19 Pandemic: A Ride-Hailing System in Iran

During the COVID-19 pandemic, significant changes occurred in customer behavior, especially traffic and urban transmission systems. In this context, there is a need for more scientific research managerial approaches to develop behavior-based smart transportation solutions deal with recent customers, drivers, behaviors, including volume of routes. This has tried find comprehensive view novel travel behavior different routes using new social network analysis method. Our rooted graph theory/network application centrality concepts analysis, particularly ride-hailing systems under monumental competition. study, big city, near ten million habitants (Tehran), considered. All city areas were studied clustered based on primary measures centrality, degree Katz special vector page rank proximity intermediate centrality. data trips system Tehran, where nodes represent Tehran’s districts, connection between two districts indicates made those districts. Also, each link’s weight number (district). The Tehran ranked six criteria: input, output, hub, reference points. Finally, according data-driven company was suggested create shared value sustainability through platform perform legitimate meet challenges. proposed can help managers governments cities.