ABSTRACT A mechanistic understanding of seed movement and survival is important both
for the development of theoretical models of plant population dynamics, spatial spread, and …

The main purpose of this paper is to assess and gain a deeper understanding of the role of
service quality in sustainable mobility. Specifically, the study aims to understand user …

This paper identifies three main understandings of the notion of 'car dependence'in transport
research: a micro-social understanding (dependence as an attribute of individuals), a macro …

Understanding how people choose routes in urban environments is essential for effective
urban planning. While conventional transportation studies focus on utilitarian decision …

In this paper, we present a series of machine learning approaches for better understanding
people's travel mode choice. The widely used Logit model is dependent on the assumption …

Emerging sensing technologies such as probe vehicles equipped with Global Positioning
System (GPS) devices on board provide us real-time vehicle trajectories. They are helpful for …

This paper proposes a novel approach that combines theory-and data-driven choice models
using Artificial Neural Networks (ANNs). In particular, we use continuous vector …

Abstract Public-Private Partnerships (PPPs) are an effective vehicle for delivering critical
infrastructure worldwide, particularly road transport assets (eg, bridges, toll roads and …

Vehicle ownership is an important determinant of the travel demand forecasting process.
Vehicle ownership models are used by policy makers to identify factors that affect vehicle …

In this paper, we present a systematic approach based on dynamic discrete choice models
(DDCM) to investigate individuals' forward-looking mode choice behaviours in daily travel …