The COVID-19 pandemic has affected many daily activities, primarily as a result of the
perceived contagion risk and government restrictions to mitigate the spread of the virus. To …

This paper proposes simple and computationally efficient forecasting algorithms for random
utility maximization-based multiple discrete-continuous (MDC) choice models with additively …

The increased interest in time use among transport researchers has led to a search for
flexible but tractable models of time use, such as Bhat's Multiple Discrete Continuous …

Organic foods have been argued to be highly beneficial for human health and
environmental sustainability. Interest in organic food consumption has been steadily …

This study investigates the process of stage transition in traveler's adoption of carsharing.
The carsharing adoption behaviors are classified into five stages using the transtheoretical …

Despite all the promising benefits, the adoption of fully autonomous vehicles (FAVs) is
expected to require a long transitional process. While innovators and early adopters tend to …

This paper formulates a novel, multiple discrete-continuous extreme value model with
ordered preferences (MDCEV-OP) to analyze multiple discrete-continuous (MDC) choices at …

In recent years, sustainable mobility policy analysis has used Hybrid Choice Models (HCM)
by incorporating latent variables in the mode choice models. However, the impact on policy …

Women's choice to drive is a topic that has not attracted much interest in the academic
literature, due to the fact that this is every citizens' right around the world. Saudi Arabia was …

In this paper, we enhance the current understanding of the properties of multiple discrete-
continuous (MDC) choice models with additively separable (AS), independent and …