Understanding preferences for mobility-on-demand services through a context-aware survey and non-compensatory strategy

The potential lack of realism in stated-preference surveys is particularly acute in contexts where disaggregate real-world data is challenging to obtain. Mobility-on-Demand (MOD) services present one such context. The MOD context is unique due to factors such as service reliability (difference in stated vs. actual travel and waiting time) and...

Analyzing the Impact of Perceived Exertion on Walking for Short-Distance Trips: A Comparative Case Study of Malta and the Netherlands

Understanding people’s travel behavior is key to creating spaces that discourage car use, especially for short, walkable distances. The scope of this study is to understand better people’s propensity to use a car rather than walk for short-distance trips by focusing on the concept of perceived exertion (PE). A comparison is performed of two...

A multinomial probit model with Choquet integral and attribute cut-offs

Several non-linear functions and machine learning methods have been developed for flexible specification of the systematic utility in discrete choice models. However, they lack interpretability, do not ensure monotonicity conditions, and restrict substitution patterns. We address the first two challenges by modeling the systematic utility...

Determinants of bus riding time deviations: Relationship between driving patterns and transit performance

Urban bus services are subject to high levels of uncertainty and disturbances. Methods to determine the timetable are designed to absorb variations in riding times between stops by allocating additional travel time. The propagation of service unreliability along the route could be restrained by drivers' adjustment at stops and between stops....