01852283

Component

https://annualmeeting.myt...nlineProgram/Details/17169

Recent technological advances have led to the availability of a wider range of data for travel behaviour modelling. In particular, physiological data such as eye-tracking information, skin conductance, heart rate recordings and electroencephalogram (EEG) have emerged as promising sources of information to gain insights on the decision-making process as well as the decision-maker’s condition or state-of-mind. However, research on methodologies to utilise these data sources and to integrate them with mobility data for advancing the state-of-the-art travel behaviour models is still very limited. In this paper, the authors discuss the key benefits of using the emerging sources of physiological data and review applications of different types of physiological data, highlighting their strengths and weaknesses. Particular attention is paid to the different possible frameworks for integrating these types of data into econometric choice models of travel behaviour. The authors detail a number of important steps for driving work with physiological data forwards, and conclude by demonstrating that there is significant scope for future methodological and applied work with physiological data.

This paper was sponsored by TRB committee AEP30 Standing Committee on Traveler Behavior and Values.

TRBAM-22-03420

English

24p

2022

Transportation Research Board 101st Annual Meeting

Digital/other

Figures; References; Tables

Choice models; Data analysis; Econometric models; Physiology; Travel behavior

Data and Information Technology; Planning and Forecasting; Transportation (General)

Transportation Research Board Annual Meeting 2022 Paper #TRBAM-22-03420

TRIS, TRB, ATRI

Jul 19 2022 12:22PM