Recent technological and methodological advances have led to the possibility of a wider
range of data being incorporated into travel choice models. In particular, physiological data …

As the Mobility as a Service (MaaS) concept attracts more interest, there is increased
demand for understanding more about MaaS subscription plans. There is a gap in …

This paper demonstrates the power and value of connecting satisfaction surveys from public
transportation passengers to smartphone tracking data and automatic vehicle location (AVL) …

Location-aware data collection technologies provide new insights about location choices.
Only a few dynamic models of location choice exist in scientific literature. To our knowledge …

Transit use in many major US cities has recently been declining, often entailing shifts from
transit to less sustainable modes of travel, such as private automobiles or ride-hailing. To …

Smartphones offer a potential alternative to collect high-quality information on the travel
patterns of individuals without burdening the respondents with reporting every detail of their …

This paper empirically investigates the causes for transit use cessation, focusing on the
influence of users' personal experiences, resulting levels of satisfaction, and subsequent …

This thesis develops models of activity and destination choices in pedestrian facilities from
WiFi traces. We adapt the activity-based travel demand analysis of urban mobility to …

Transit customer attrition is an important issue for transit agencies and a key component of
transit customer loyalty. In order to investigate what drives changes in transit use, they must …

This paper is about the general disconnect that we see, both in practice and in literature,
between the disciplines of travel demand modeling and causal inference. In this paper, we …