Cities, characterised by scarce resources and facing increasing citizens' requests for more
liveable and attractive environments, need to define and implement more efficient urban …

This paper applies the concept of entropy to mine large volumes of global positioning
system (GPS) data in order to determine the purpose of stopped truck events. Typical GPS …

This chapter critically reviews the state-of-the-art in spatial microsimulation and agent-based
modelling approaches with an emphasis on efforts to combine them in order to address …

An increasing amount of research is dedicated to the consideration of tour formation in
freight transportation demand models. While empirical tour formation models so far have …

The daily trip to work is ubiquitous, yet its characteristics differ widely from person to person
and place to place. This is manifested in statistics on mode and distance of travel, which vary …

Goods movement is one of the fastest growing transportation sectors, affecting both
economic and environmental sustainability, particularly in dense urban areas with traffic …

The movement of trucks represents a significant portion of travel. Surveys have traditionally
been used to measure truck movement, but this costly and limited data collection method …

Increasing complexity of urban freight policies demand agent-based simulation models that
can address time-of-day dynamics. However, existing state of the art tools like SimMobility …

Policymakers, planners, engineers, and others seek effective ways to anticipate and
manage greenhouse gas (GHG) emissions for a sustainable future. Here, a microsimulation …

This paper considers which work-related trip patterns are included in household travel
surveys and which in commercial travel surveys and if there are certain patterns that are …