Because two decades have almost passed since the introduction of activity-based models of
travel demand, this seems the right time to evaluate progress made in the development and …

The paper presents a critical review of the methodological approaches used in tour-based
mode choice models within the activity-based modelling frameworks. Various components of …

We present an integrated activity-based discrete choice model system of an individual's
activity and travel schedule, for forecasting urban passenger travel demand. A prototype …

Spatial interaction (SI) is the process whereby entities at different points in physical space
make contacts, demand/supply decisions or locational choices. The entities can be …

Micro-simulations for transport planning are becoming increasingly important in traffic
simulation, traffic analysis, and traffic forecasting. In the last decades the shift from using …

Activity-based demand generation contructs complete all-day activity plans for each member
of a population, and derives transportation demand from the fact that consecutive activities at …

Epidemiological simulations as a method are used to better understand and predict the
spreading of infectious diseases, for example of COVID-19. This paper presents an …

Time geography had led geographers to analyse and model activity-travel patterns since the
1970s. The notion that activity-travel patterns are highly constrained has been frequently …

Communities are increasingly looking to land use planning strategies to reduce drive-alone
travel. Many planning efforts aim to develop neighborhoods with higher levels of …

Microsimulation is becoming increasingly important in traffic demand modeling. The major
advantage over traditional four-step models is the ability to simulate each traveler …