Face-to-face social activities, such as joint activities with friends or visiting relatives, involve meeting with other persons at a certain time and location. This (social) spatial-choice behavior is critical for successful urban planning. Recently there has been a rapid emergence of research...

The utilization of multiagent technology for urban planning purposes has already received much attention with regard to predicting and evaluating the effects of different policy scenarios and plan alternatives. The generation of these plan alternatives, however, remains underexplored in this...

In this paper we discuss the development of a dynamic agent-based model which simulates how agents search and explore in nonstationary environments and ultimately develop habitual, context-dependent, activity–travel patterns. Conceptually, the creation of a choice set is context dependent....

Owing to the richer set of concepts which are involved in activity-based transportation models, the potential advantages of an activity-based approach for air quality purposes have been recognized for a long time. However, models that have been developed along these lines are still scarce. In...

The scheduling of daily activities requires decisions to be made on which activities to conduct, where, when, for how long, and the transport mode involved. In a common conceptualization of the decision process, a multitude of time frames is involved. Longer term decisions determine the...

We propose a multiagent model in which developers and suppliers negotiate and generate proposals for developing a site, given multiple candidate locations in an urban area. In the model, the developer takes the initiative and coordinates the negotiation process with the aim of obtaining...

We argue that the social networks and activity-travel patterns of people interact and coevolve over time. Through social interaction, people exchange information about activity-travel choice alternatives and adapt their latent and overt preferences for alternatives to each other. At the same...