Recent empirical studies have found that travellers route choices deviate from perfect rationality, showing that urban trips do not necessary follow the shortest-time routes.
However, there is no consent on how much the travellers’ route choice behaviour deviates from the perfect rational assumption. The objective of this study is to contribute to the understanding on how travellers process travel time when making route choices, and to quantify to what extent users are strict travel time minimisers or if bounded rationality is observed. The question of whether travellers evaluate travel time differences in absolute or relative terms is also addressed, and the heterogeneity in the route choice behaviour of travellers investigated.
Sur le même thème
PRESSE – Des pistes cyclables virtuelles pour optimiser le passage des vélos6 juillet 2022
A l’INSA Lyon, Lucas Magnana souhaite inciter les citoyens à utiliser davantage le vélo en ville grâce à l’intelligence artificielle. Une thèse encadrée par Hervé Rivano et Nicolas Chiabaut, expert en sciences de la mobilité chez Citec.
Implicit GPS-based bicycle route choice model using clustering methods and a LSTM network22 mars 2022
Biking is gaining in popularity all around the world as a healthy and environmentally friendly mode of transportation. Urban policies tend to encourage citizens to use bicycles.
Demand-Driven Optimization Method for Microtransit Services10 novembre 2021
Many shared mobility solutions have been developed over recent decades. In the case of mobile technological innovations, new solutions that are more flexible to user demands have emerged.