Cost-Minimizing Choice Behavior in Transportation Planning : A Theoretical Framework for Logit Models

Online-Ressource (XII, 160p. 6 illus, digital)

Literaturverz. S. 149 - 153

Cost-Minimizing Choice Behavior in Transportation Planning; Preface; Contents; 1 Logit Models for Spatial Interaction: Background; 1.1 Introduction; 1.2 Cost-Minimizing Behavior; 1.3 Intuitive Gravity Models and Most Probable State Approach; 1.4 User Equilibrium in a Network; 1.5 Econometric Models of Probabilistic Choice; 1.6 Luce's Axiomatic Derivation; 1.7 ARUM - Additive Random Utility Maximization - Approach; 1.8 Structured or Nested Logit Models; 1.9 Transportation Problem in Linear Programming; 1.10 Lagrangian Methods of Deriving Logit Models; 1.11 Welfare Measures

2 Empirical and Policy Relevance of the New Paradigm2.1 Empirical Relevance; 2.2 Policy Relevance; 3 Behavioral Foundations of Spatial Interaction Models; 3.1 Basic Ideas - Cost-Minimizing Behavior and Equilibrium; 3.2 Probability Models; 3.3 Freedom of Choice; 3.4 Cost-Minimizing Behavior; 3.5 The Simple (Multinomial) Logit Model Exhibits Cost-Minimizing Behavior; 3.6 Cost-Minimizing Behavior Implies the Logit Model; 3.7 Welfare Measure; 3.8 Graphical Test; 3.9 Some Particular Discrete Choice Models; 3.10 Equilibrium; 3.11 Choice of Origin, Destination and Route

3.12 Choice of Origin, Destination, Mode and Route3.13 Comments; 3.14 Notes; 3.15 About Notation; Part I Cost-Minimizing Behavior: Constant Link Costs; 4 Logit Models for Discrete Choice; 5 Some Particular Logit Models; 6 Welfare, Benefit and Freedom of Choice; 7 Graphical Tests of Cost-Minimizing Behaviorin Logit Models; Part II Equilibrium; 8 Equilibrium; 9 Appendix; References

10.1007/978-3-642-11911-8 [DOI]

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