The Hybrid Choice Model (HCM) is a modeling framework that attempts to bridge the gap
between discrete choice models and behavioral theories by representing explicitly …

In travel choice models, variables describing alternative attributes such as travel time may
have to be specified as stochastic because the analyst may not have accurate …

Combining vehicle-to-grid (V2G) with car sharing can substantially contribute to
decarbonization of both energy and transportation sectors. Car-sharing users' booking slot …

The first and last mile (FLM) problem is the lack of adequate connectivity between transit
stations and trip origins/destinations. Consequently, this problem increases the probability of …

This paper proposes a new method to combine choice-and text data to infer moral
motivations from people's actions. To do this, we rely on moral rhetoric, in other words …

The assumption of exogeneity is fundamental to obtain consistent estimators of the
parameters of a discrete choice model. It requires that the attributes of the systematic …

Purpose This study addresses the knowledge gap on consumers' logistics preferences for
online fashion retailing. Despite the effects of operational attributes, including fulfillment cost …

This study evaluates the impacts of air pollution on trip decision-making and the
determinants associated with perceived health risk from air pollution, socioeconomic status …

In the rapidly evolving realm of transportation technology, the dynamic relationship between
pedestrians and technological innovations has attained unprecedented importance. The …

Classical demand modeling analyzes travel behavior using only low-dimensional numeric
data (ie sociodemographics and travel attributes) but not high-dimensional urban imagery …