Activity-based modeling for multimodal urban mobility simulation
le 9 juin 2026
12h45
Manufacture des Tabacs MF103
Elisa Cueille, SMAC research group, IRIT, University Toulouse Capitole
Abstract: Urban mobility planning faces major challenges due to population growth and climate change. To anticipate these evolutions, transportation forecasting leverages Activity-Based Models (ABM), which view travel as a demand derived from individuals' daily activities. However, current methods often act as mere statistical mirrors, prioritizing data reproduction over the behavioral adaptation of individuals to their environment. The approach of my thesis aims to overcome this limitation by integrating the environment directly into the individuals' decision-making process from the very beginning. Drawing on the concepts of situated action and affordance, we model how the territory offers opportunities or imposes constraints on individuals. This theoretical framework is applied to the city of Hanoi (Vietnam), a territory characterized by a strong predominance of private vehicles. My current work focuses on developing this multimodal model (including motorbike, car, bus, metro, walking, and cycling). By combining OpenStreetMap data, GTFS data, and mobility surveys, the model generates a synthetic population and simulates mode and route choices while incorporating network congestion effects. The objective of this case study is to evaluate the impact of Hanoi's new metro network planned for 2050.
