We provide a brief review of human mobility science and present three key areas where we
expect to see substantial advancements. We start from the mind and discuss the need to …

Abstract Background Discrete choice models (DCMs) for moral choice analysis will likely
lead to erroneous model outcomes and misguided policy recommendations, as only some …

Travel mode choice (TMC) prediction is crucial for transportation planning. Most previous
studies have focused on TMC in adults, whereas predicting TMC in children has received …

Discrete choice models can forecast market shares and individual choice probabilities with
different price and alternative set scenarios. This work introduces a method to personalize …

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 …

Understanding and forecasting complex freight mode choice behavior under various
industry, policy, and technology contexts is essential for freight planning and policymaking …

New mobility technologies, such as shared mobility services (eg, car-sharing) and, more
importantly, autonomous vehicles (AVs), continue to evolve. The supply-side advancement …

This paper aims to investigate whether increasing non-linear opportunities in a neural
network-based scheduling model improves its predictive performance. More specifically, this …

Travel choice analysis is crucial for understanding individual travel behavior to develop
appropriate transport policies and recommendation systems in Intelligent Transportation …

In B2B markets, value-based pricing and selling has become an important alternative to
discounting. This study outlines a modeling method that uses customer data (product offers …