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....

This paper provides an empirical comparison between utility-maximization and regret-minimization perspectives of spatial-choice behaviour. The key difference between these two perspectives is that the regret-minimization perspective implies that the anticipated satisfaction associated with a...

Land-use models are a well-established component of planning support systems to support urban planning for and with a local community. Existing models are based on either land-suitability analysis or facility-network performance analysis, reflecting two major approaches in modelling for spatial...

In this paper we propose use of structural equation modelling to validate the assumed classification of attributes necessary in hierarchical information integration approaches to preference formation. The suggested approach is illustrated in a study of residential satisfaction and preference in...

The aim of this paper is to gain a better understanding of the impact of simplification on a sequential model of activity-scheduling behavior which uses feature-selection methods. To that effect, the predictive performance of the Albatross model, which incorporates nine different facets of...

Sequence-alignment methods which have been recently introduced in time-use research analyse the cross-sectional as well as the sequential information embedded in space - time activity-diary data. As these methods have been developed to trace the evolutionary history of random mutations of the...

Our aim in this paper is to build and test a model which classifies and identifies pedestrian shopping behaviour in a shopping centre by using temporal and spatial choice heuristics. In particular, the temporal local-distance-minimising, total-distance-minimising, and global-distance-minimising...

This paper reports the results of an application of the Aurora model to estimate the utility functions underlying activity-duration decisions in daily activity - travel patterns. Multidimensional sequence alignment is used to derive segments for activity - travel diary data, collected in the...

Park and ride (P & R) facilities have been proposed in several countries to alleviate the accessibility problems in cities. Despite growing accessibility problems, these facilities do not seem to attract the expected number of car drivers and are underused. In an attempt to measure consumer...

Bayesian belief networks offer an alternative to conventional estimation methods in estimating user preference or utility functions. Because parameter estimates are updated sequentially, this approach seems very promising in user-centred design and data collection systems. The application of...