Decaying-memory experience-dependent preferences for route familiarity among shared e-scooter commuters
Yacouba Kone, Lawrence Duncan, Ouassim Manout, Louafi Bouzouina
- Conference
- hEART 2026: 14th Symposium of the European Association for Research in Transportation (2026)
- Publication year
- 2026
Abstract
Examining the route choices of shared e-scooter users allows planners to identify infrastructure priorities, understand emerging mobility patterns, and evaluate the performance of the transportation network. Studies exploring shared e-scooter route choices are, however, limited, especially when compared with bicycle route choice. In fact, no study has explored the habitual route choice behaviour of e-scooter users, for example from those who commute via e-scooter. This study addresses this by first identifying commuters from shared e-scooter GPS trajectory data in Lyon, France, and then analysing their route choice preferences. In particular, through the estimation of novel route familiarity measures, we explore i) whether shared e-scooter commuters have preferences for taking familiar routes, ii) whether preference for familiarity is experience-dependent (i.e. dependent on the travel cost of the route taken), and iii) whether commuters have decaying memory (i.e. whether they care more about recent commutes than older commutes).
How to cite
Yacouba Kone; Lawrence Duncan; Ouassim Manout; Louafi Bouzouina (2026). Decaying-memory experience-dependent preferences for route familiarity among shared e-scooter commuters. In: hEART 2026: 14th Symposium of the European Association for Research in Transportation.