Bounded rational choice behaviour -

Preface Models of Bounded Rationality under Certainty Framework Non-Optimal Decision Mechanisms Considering a Subset of Influential Attributes Indifference between Small Differences in Utility or Attribute Values Considering a Subset of Choice Alternatives Applications Conclusions and Discussion Utility Maximisation and Regret Minimisation: A Mixture of a Generalisation Introduction Model Structures The Generalised RRM Model Mixture Model Empirical Analysis Data Results Summary and Conclusions Relative Utility Modelling Introduction Relative Utility Modelling General Formulation Alternative-Oriented Relative Utility Representing Quasi-Nested Choice Structure Endogenous Modelling of Choice Set Generation Reflecting the Non-linearity of Context Dependency Major Findings of Existing Studies Choices of Destinations and Stop Patterns Dynamic Travel Mode Choice Travel Information and Travel Behaviour Choices of Packaged Tours Choice Set Generation Further Improvements Modelling Improvements Model Estimation Conclusion The Influence of Varying Information Load on Inferred Attribute Non-Attendance Introduction Methodology Data and Model Specifications Results Discussion The Heterogeneous Heuristic Modeling Framework for Inferring Decision Processes Motivation Modeling Framework Satisficing Decision Preference structure Deriving decision heuristics Choice of heuristics Mental effort Risk perception Expected outcome Extension to Comparative Decision Applications The Go-Home Decision Model specification Results The Direction Choice Decision Model specification Results Conclusion and Future Work Investigating Situational Differences in Individuals' Mental Representations of Activity-Travel Decisions: Progress and Empirical Illustration for the Impact of Online Alternatives Introduction Mental Representations of Complex Decision Problems Theory and Concepts Measuring Mental Representations Case Study Choice Task and Experimental Design Data Collection and Sample Analysis The complexity of respondents' mental representations The content of respondents' mental representations Conclusion Conclusions and Discussion Towards a Novel Classifier for the Representation of Bounded Rationality in Models of Travel Demand Introduction to Decision Theory Decision Theory in Activity-Based Models Introduction Decision Theory in AB Models Bayesian Networks General Concepts Parameter Learning Entering Evidences Structural Learning Bayesian Network Classifiers: Problem Formulation Towards A New Integrated Classifier Data and Design of the Experiments Data Design of the Experiments Results Model Comparison: Accuracy Results Model Comparison in Terms of Model and Individual Rule Complexity Activity Pattern Level Analysis Trip Matrix Level Analysis Conclusion and Discussion of the Results Bounded Rationality in Dynamic Traffic Assignment Introduction Dynamic Traffic Assignment Problem Definition Example Travel Flow Component Wardrop's First Principle and its Dynamic Extensions Bounded Rationality in Traffic Assignment Boundedly Rational Dynamic User Equilibrium Route Choice Assignment Tolerance-Based Dynamic User Optimal Principle Nonlinear Complementarity Problem (NCP) Formulation Solution Existence and Uniqueness Solution Method Boundedly Rational Dynamic user Equilibrium Route and Departure Time Choice Assignment Concluding Remarks Incorporating Bounded Rationality in a Model of Endogenous Dynamics of Activity-Travel Behaviour Introduction The Model Activity Profiles and Universal Choice Set Decision-Making Process Cognitive responses Emotional responses Choice set formation Aspirations and stress Habit formation Short-term dynamics Long-term dynamics Updating Phase Numerical Simulations Simulation Settings Basic Case Results Effect of Memory-Activation Parameters Effect of λ2 parameter Effect of γ parameter Effect of Emotion-Related Parameters Effect of α2 parameter Effect of α2 parameter Conclusions and Discussion Multidimensional Travel Decision-Making: Descriptive Behavioural Theory and Agent-Based Models Background Theory and Models Modelling Imperfect Knowledge Modelling Multidimensional Search Search Rules and Decision Rules Empirical Data Collection Simulation Results Discussion and Conclusion Prospect Theory and its Applications to the Modelling of Travel Choice Introduction Making Travel Choices under Risk: The Assumptions of Expected Utility Theory (EUT) and Prospect Theory (PT)Cumulative Prospect Theory (CPT)Numeric Example Incorporating Prospect Theory in Travel Choice Modelling – Application Areas and Evidence Prospect Theory and Behavioural Change Shortcomings and Limitations of Prospect Theory in Modelling Travel Behaviour Summary and Conclusions About the Authors