Energy use in cities has attracted significant research in recent years. However such a broad
topic inevitably results in number of alternative interpretations of the problem domain and …

Abstract Reasoning why uncertainty analysis will become important in years to come, this
paper reviews prior work on uncertainty analysis in travel demand forecasting. Different …

A parameter estimation method is proposed for calibrating the household activity pattern
problem so that it can be used as a disaggregate, activity-based analog of the traffic …

This paper presents a joint trivariate discrete–continuous–continuous model for commuters'
mode choice, work start time and work duration. The model is designed to capture …

This article reports on the calibration and analysis of a fully disaggregate (agent-based)
transport simulation for the metropolitan area of Zurich. The agent-based simulation goes …

Trip chaining (or tours) and mode choice are two critical factors influencing a variety of
patterns of urban travel demand. This paper investigates the hierarchical relationship …

Social activities are responsible for a large proportion of travel demands of individuals.
Modeling of the social network of a studied population offers a basis to predict social travel …

This century will, for the first time, see over half the world's population living in cities UN
(2007). Making these urban structures environmentally, economically and socially …

Cities grow, and along with them, the exchange and distribution of goods and services has
led in recent years to a greater increasing interest for the optimization of logistic processes …

This paper presents results from the application of a comprehensive socioeconomic and
demographic model system in conjunction with a continuous-time, activity-based …