Travel demand emerges from individual decisions. These decisions, depending on individual objectives, preferences, experiences and spatial knowledge about travel, are both heterogeneous and evolutionary. Research emerging from fields such as road pricing and ATIS requires travel demand models...

The role of contacts on travel behavior has been getting increasing attention. This paper reports on data collected on individual’s social meetings and the choice of in-home/out-of-home meeting locations as well as the distance traveled and duration of out-home-meetings and its relationship to...

This paper empirically explores the relationship between (i) job finding and commuting outcomes and (ii) the relationship between job search and the commute and location outcomes of relocation decisions after finding employment. The relationship between commute outcomes when finding a new job...

Modern urban regions are highly complex entities. Despite the difficulty of modeling every relevant aspect of an urban region, researchers have produced a rich variety of models dealing with interrelated processes of urban change. The most popular types of models have been those dealing with the...

This research explores the effectiveness of using simulation as a tool for enhancing classroom learning in the Civil Engineering Department of the University of Minnesota at Twin Cities. The authors developed a modern transportation planning software package, Agent-based Demand and Assignment...

We first delineate a general model that accounts for the common features of sightseeing trips to city attractions and to locations such as lakes and parks. Next, we use the theory of discrete-time Markov chains (DTMCs) to formalize this general model and then we compute the one-step transition...

We first delineate a general model that accounts for the common features of sightseeing trips to city attractions and to locations such as lakes and parks. Next, we use the theory of discrete-time Markov chains (DTMCs) to formalize this general model and then we compute the one-step transition...

In this paper we introduce an activity-based modeling approach for evaluating the traveler costs of transport network disruptions. The model handles several important aspects of such events: increases in travel time may be very long in relation to the normal day-to-day fluctuations; the impact...

The objective of this research to develop quantitative measures that capture various aspects of underlying network structure, using aggregate level travel data from fifty metropolitan areas across the U.S. The influence of these measures on system performance is then tested using statistical...

This research analyzes the in uence of network structure on household spatial patterns, as measured by activity spaces. The analysis uses street network and travel survey data from the Twin Cities and South Florida to compile measures of network structure. Statistical regression models test the...