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• W2247257931 abstract "Most operational models of activity-travel demand have been developed to predict activity-travel patterns. The main contribution of these models is to offer an alternative to the four-step models of travel demand, better focusing on the consistency of the submodels and proving increased sensitivity to a wider range of policy issues. These models are most valuable for predicting the impact of land use and transportation policies on typical activity-travel patterns, allowing policy makers to assess the likely impact of such policies in relation to changing travel demand and a set of accessibility, mobility, and environmental performance indicators. For short-term dynamics in activity-travel patterns, these activity-based models at their current state of development have much less to offer. To complement one of these models (Albatross), Aurora, a model focusing on the rescheduling of activity-travel patterns was developed. The foundations of this model appear in Timmermans et al. (2001) and Joh et al. (2003, 2004), focusing on the formulation of a comprehensive theory and model of activity rescheduling and reprogramming decisions as a function of time pressure. Apart from duration adjustment processes, the Aurora model also incorporated other potential dynamics, such as change of destination, transport mode, and other facets of activity-travel patterns. Later, this model was extended to deal with uncertainty, various types of learning, and responses to information provision. Finally, a framework to implement this model as a multiagent simulation system has been developed and explored. In 2005, a research program coordinated by IMOB (Transportation Research Institute) was funded by IWT (Institute for the Promotion of Innovation by Science and Technology in Flanders), Belgium. The goal of this program, in addition to exploring the potential use of new technology on collecting travel data, is to develop a prototype, activity-based model of transport demand for Flanders, Belgium. The basis of this model, which has been given the acronym Feathers, will be the extended version of Aurora, complemented with some additional concepts. This paper reports the current development of this agent-based microsimulator that allows one to simulate activity-travel scheduling decisions, within-day rescheduling, and learning processes in high resolutions of space and time. It summarizes some concepts and discusses a series of projects and activities that will be conducted to further the operational effectiveness of the models for Flanders." @default.
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• W2247257931 date "2008-01-01" @default.
• W2247257931 modified "2023-09-27" @default.
• W2247257931 title "Modeling Short-Term Dynamics in Activity-Travel Patterns: From Aurora to Feathers" @default.
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