In recent decades, transportation planning researchers have used diverse types of machine
learning (ML) algorithms to research a wide range of topics. This review paper starts with a …

The present study aims to identify clusters of transport users and to examine the role of
transport priorities, travel mode use attitudes, and car use habit on travel mode use. An …

We present results from a recent experiment conducted in Switzerland that studies the
effects of a temporary change in the mode of travel to work on travel happiness and mode …

Urban mobility behavior is influenced by complex interrelations of personal attitudes,
neighborhood design, emerging digitalized shared mobility services, and urban …

Developing sustainable transportation systems in a city can be substantially assisted by
promoting environmentally friendly transportation modes such as walking, cycling, and …

Understanding the factors that impact commuter's transport mode choice is one of the
important key aspects to consider when aiming for a sustainable transportation system …

Purpose This paper addresses the urban transit sector investigating variables affecting the
habitual modal choices of commuters aiming to gain insight into the key factors affecting …

A transit service quality study based on cluster analysis was performed to extract detailed
customer profiles sharing similar appraisals concerning the service. This approach made it …

In this paper, we apply Bhat and Dubey's (2014) new probit-kernel based Integrated Choice
and Latent Variable (ICLV) model formulation to analyze children's travel mode choice to …

In recent years, the topic of air quality has grown in prominence due to an improved
understanding of the detrimental impacts of local air pollutants on human health and …