Recent years have witnessed an explosion of extensive geolocated datasets related to
human movement, enabling scientists to quantitatively study individual and collective …

The discussion of whether, and to what extent, telecommuting can curb congestion in urban
areas has spanned more than three decades. This study develops an integrated framework …

Informed Urban Transport Systems examines how information gathered from new
technologies can be used for optimal planning and operation in urban settings …

Over the past decades, many activity-based travel behaviour models have been proposed
based on individuals' independent decision making. The modelling of individuals' joint …

This paper examines the daily activity-travel behavior of undergraduate students, graduate
students, faculty, and staff at a large university to better understand their activity travel …

This paper presents a comprehensive utility-based system of activity-travel scheduling
options modelling (CUSTOM) and applies it to simulate workers' daily activity-travel demand …

The paper presents a heteroskedastic dynamic discrete choice (HDDC) model for tour-
based mode choices modelling with an empirical investigation of university students' daily …

The choice of daily activity sequences differs between individuals based on their socio-
demographic characteristics and their health and/or mobility status. The aim of this paper is …

Representing activity-travel scheduling decisions as path choices in a time–space network
is an emerging approach in the literature. In this paper, we model choices of activity …

Despite growing prevalence of online shopping, its impacts on mobility are poorly
understood. This partially results from the lack of sufficiently detailed data. In this paper we …