• FrontCover; Spatial Choices and Processes; Copyright Page; Preface; Table of Contents; List of Figures; List of Tables; Contributing Authors; Chapter 1. Current Trends in Behavioural Modelling; 1.1 Introduction; 1.2 Different Modes of Explanation; 1.3 Recent Progress in Behavioural Modelling; 1.4 Outline of the Book; 1.5 Concluding Remarks; References; PART A: New Approaches to Spatial Choice Analysis; Chapter 2. Account of Different Views in Dynamic Choice Processes; 2.1 Introduction; 2.2 The Panel Data-Based Discrete Choice Approach to Modelling the Dynamics of Choice Processes
  • 2.3 The Master Equation View in Dynamic Choice Processes2.4 From Homo Economicus to Homo Socialis: The Ecological Approach to Dynamic Choice Processes; 2.5 Concluding Remarks; References; Chapter 3. Theory of Chaos: Relevance for Analysing Spatial Processes; 3.1 Introduction; 3.2 Strange Attractors: A Brief Overview; 3.3 Regional Economic Applications; 3.4 An Illustrative Simple Model of Chaos for Urban Dynamics; 3.5 Results of Simulation Experiments; 3.6 An Optimal Control Formulation of a 'Chaos' Problem; 3.7 Concluding Remarks; References; Chapter 4. A Model of Continuous Spatial Choice
  • 4.1 Introduction4.2 Allocation Choice; 4.3 Location Choice; 4.4 Concluding Remarks; Acknowledgement; Appendix; References; Chapter 5. Theoretical Aspects of Variety-Seeking Choice Behaviour; 5.1 Introduction; 5.2 Theoretical Notions; 5.3 Models of Variety-Seeking Behaviour; 5.4 Conclusions; References; Chapter 6. Dirichlet-Logistic Models of Spatial Choice; 6.1 Introduction; 6.2 Heterogeneity, State Dependence and Non-Stationarity; 6.3 Approaches to the Analysis of Longitudinal Data; 6.4 Methods for Handling Unobserved Heterogeneity in Discrete-Time Models of Repeated Spatial Choice
  • 6.5 The Beta-Logistic Model6.6 The Dirichlet-Logistic Model; 6.7 Non-Parametric Characterisation of the Mixing Distribution: The Mass Points Method; 6.8 Conclusion; References; Chapter 7. The Conceptual and Empirical Basis of a General Theoiy of Spatial Knowledge; 7.1 Introduction; 7.2 The Basic Elements; 7.3 Towards a General Theory of Spatial Knowledge; 7.4 Information Processing Basis; 7.5 Declarative Knowledge and Anchor Points; 7.6 Procedural Knowledge and Anchor Points; 7.7 Configurational (Survey-Level) Knowledge and Anchor Points; 7.8 Regions and Hierarchies
  • 7.9 Summary and ConclusionReferences; Chapter 8. NAVIGATOR: An AI-Based Model of Human Way-Finding in an Urban Environment; 8.1 Introduction; 8.2 Modelling Spatial Knowledge; 8.3 The Two Modules of NAVIGATOR; 8.4 Parameters of the System; 8.5 The Performance of NS in a Guided Navigation Mode; 8.6 The Performance of NS in an Unguided Mode; 8.7 Summary and General Discussion; References; PART B: Discrete Choice Models and Choice Experiments; Chapter 9. Recent Developments in Flexible Discrete Choice Models: Nested Logit Analysis Versus Simulated Moments Probit Analysis; 9.1 Introduction
  • 9.2 The Multinomial Logit and the Nested Multinomial Logit Model
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