An online survey to enhance the understanding of car drivers route choices

The increasing application of advanced behavioral choice models, reflecting the stochasticity of individuals' preferences and the complex nature of human decision-making process, requires enhanced data collection methods to obtain detailed data without significantly increasing the respondent burden. In this study, we present the development and deployment of a general data collection framework adapted for behavioral route choice studies. The main objectives of the proposed framework are to observe drivers' route choices, and to identify important factors, including observable attributes and latent behavioral traits, affecting those decisions. More specifically, the survey has been designed to reveal drivers' consideration set of route alternatives from which they pick their final choices. The detailed analysis of survey's response behavior will help improve the framework to gather travel data even more efficiently.

Mots clés

Revealed preference survey, Route choice modeling, Consideration sets, Survey response behavior