Handbook of Choice Modelling

Edited by Stephane Hess, Professor of Choice Modelling and Andrew Daly, Professor Emeritus, University of Leeds, UK

Contents:

1 Introduction to the Handbook of Choice Modelling 1
Stephane Hess and Andrew Daly
PART I FOUNDATIONS
2 The new science of pleasure: consumer choice behavior and the measurement
of well-being 6
Daniel McFadden
3 Psychological research and theories of preferential choice 49
Jared M. Hotaling, Jerome R. Busemeyer and Jörg Rieskamp
4 Model building, inference and interpretation: developing discrete choice
models in the age of machine learning 74
Filipe Rodrigues, Rico Krueger and Francisco Camara Pereira
PART II OBSERVING PREFERENCES
5 Choice context 117
Konstadinos G. Goulias and Ram M. Pendyala
6 Self-tracing and reporting: state-of-the-art in the capture of revealed
behaviour 147
Kay W. Axhausen
7 Designing and conducting stated choice experiments 172
Michiel C. J. Bliemer and John M. Rose
8 Best-worst scaling: theory and methods 206
A. A. J. Marley
9 Real choices and hypothetical choices 246
Glenn W. Harrison
10 Virtual reality and choice modelling: existing applications and future research
directions 276
Michael A. B. van Eggermond, Panos Mavros and Alex Erath
PART III MODELLING HETEROGENEITY
11 Nonparametric approaches to describing heterogeneity 308
Mogens Fosgerau
12 Attribute processing as a behavioural strategy in stated preference choice
making 319
David A. Hensher and Camilla Balbontin
13 Alternative decision rules in (travel) choice models: A review and critical
discussion 339
Caspar G. Chorus and Sander van Cranenburgh
14 Latent class structures: taste heterogeneity and beyond 372
Stephane Hess
PART IV EXTENDED DATA AND MODELLING FRAMEWORKS
15 Models for ordered choices 393
William Greene
16 Activity and transportation decisions within households 426
André de Palma, Nathalie Picard and Robin Lindsey
17 Multiple discrete-continuous choice models: a reflective analysis and a
prospective view 452
Abdul R. Pinjari, Chandra Bhat, Shobhit Saxena and Aupal Mondal
18 Hybrid choice models 489
Maya Abou-Zeid and Moshe Ben-Akiva
19 Hybrid choice models: the identification problem 522
Akshay Vij and Joan L. Walker
20 Dynamic choice models 568
Michel Bierlaire, Emma Frejinger and Tim Hillel
PART V SPECIFICATION, ESTIMATION AND INFERENCE
21 Numerical methods for optimization-based model estimation and inference 594
David S. Bunch
22 Bayesian estimation of random utility models 630
Peter Lenk
23 Endogeneity in discrete choice models 668
C. Angelo Guevara
24 Sampling and discrete choice 693
Michel Bierlaire and Rico Krueger
PART VI ANALYSIS AND USE OF RESULTS
25 Appraisal 720
Anders Karlström
26 Forecasting choice 746
Andrew Daly
Index 766