• A Multiobjective Optimization Model for Student Urban Carpool Hubs
Conférence : Communications avec actes dans un congrès international
Urban mobility is a growing challenge, particularly in some university environments where students face difficulties in commuting efficiently and sustainably. Among the various alternatives, carpooling has emerged as a promising solution to mitigate traffic congestion, transportation costs and environmental impacts. We propose, in this paper, a multi-objective optimization model considering spatial, behavioral, and environmental variables, tailored specifically to the dynamic mobility patterns of university students. We aim to optimize the carpool hub’s location by considering the daily students’ timetables, the walking distance to the hub, the distance from the hub to the campus and the associated carbon footprint.