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• W346978879 abstract "AbstractPurposeThis chapter explores a descriptive theory of multidimensional travel behaviour, estimation of quantitative models, and demonstration in an agent-based microsimulation.TheoryA descriptive theory on multidimensional travel behaviour is conceptualised. It theorizes multidimensional knowledge updating, search start/stopping criteria, and search/decision heuristics. These components are formulated or empirically modelled and integrated in a unified and coherent approach.FindingsThe theory is supported by empirical observations and the derived quantitative models are tested by an agent-based simulation on a demonstration network.Originality and valueBased on artificially intelligent agents, learning and search theory, and bounded rationality, this chapter makes an effort to embed a sound theoretical foundation for the computational process approach and agent-based microsimulations. A pertinent new theory is proposed with experimental observations and estimations to demonstrate agents with systematic deviations from the rationality paradigm. Procedural and multidimensional decision-making are modelled. The numerical experiment highlights the capabilities of the proposed theory in estimating rich behavioural dynamics." @default.
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• W346978879 date "2015-01-31" @default.
• W346978879 modified "2023-10-16" @default.
• W346978879 title "Multidimensional Travel Decision-Making: Descriptive Behavioural Theory and Agent-Based Models" @default.
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• W346978879 doi "https://doi.org/10.1108/978-1-78441-072-820151012" @default.
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