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

‘The best is now even better: the Handbook of Choice Modelling, which has been the go-to source for years, has now been updated to cover the most important new topics in the field. It’s an excellent collection - useful to anyone working at any level with choice models.’

• Contents:1 Introduction to the Handbook of Choice Modelling 1Stephane Hess and Andrew DalyPART I FOUNDATIONS2 The new science of pleasure: consumer choice behavior and the measurementof well-being 6Daniel McFadden3 Psychological research and theories of preferential choice 49Jared M. Hotaling, Jerome R. Busemeyer and Jörg Rieskamp4 Model building, inference and interpretation: developing discrete choicemodels in the age of machine learning 74Filipe Rodrigues, Rico Krueger and Francisco Camara PereiraPART II OBSERVING PREFERENCES5 Choice context 117Konstadinos G. Goulias and Ram M. Pendyala6 Self-tracing and reporting: state-of-the-art in the capture of revealedbehaviour 147Kay W. Axhausen7 Designing and conducting stated choice experiments 172Michiel C. J. Bliemer and John M. Rose8 Best-worst scaling: theory and methods 206A. A. J. Marley9 Real choices and hypothetical choices 246Glenn W. Harrison10 Virtual reality and choice modelling: existing applications and future researchdirections 276Michael A. B. van Eggermond, Panos Mavros and Alex ErathPART III MODELLING HETEROGENEITY11 Nonparametric approaches to describing heterogeneity 308Mogens Fosgerau12 Attribute processing as a behavioural strategy in stated preference choicemaking 319David A. Hensher and Camila Balbontin13 Alternative decision rules in (travel) choice models: A review and criticaldiscussion 339Caspar G. Chorus and Sander van Cranenburgh14 Latent class structures: taste heterogeneity and beyond 372Stephane HessPART IV EXTENDED DATA AND MODELLING FRAMEWORKS15 Models for ordered choices 393William Greene16 Activity and transportation decisions within households 426André de Palma, Nathalie Picard and Robin Lindsey17 Multiple discrete-continuous choice models: a reflective analysis and aprospective view 452Abdul R. Pinjari, Chandra Bhat, Shobhit Saxena and Aupal Mondal18 Hybrid choice models 489Maya Abou-Zeid and Moshe Ben-Akiva19 Hybrid choice models: the identification problem 522Akshay Vij and Joan L. Walker20 Dynamic choice models 568Michel Bierlaire, Emma Frejinger and Tim HillelPART V SPECIFICATION, ESTIMATION AND INFERENCE21 Numerical methods for optimization-based model estimation and inference 594David S. Bunch22 Bayesian estimation of random utility models 630Peter Lenk23 Endogeneity in discrete choice models 668C. Angelo Guevara24 Sampling and discrete choice 693Michel Bierlaire and Rico KruegerPART VI ANALYSIS AND USE OF RESULTS25 Appraisal 720Anders Karlström26 Forecasting choice 746Andrew DalyIndex 766

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

‘The best is now even better: the Handbook of Choice Modelling, which has been the go-to source for years, has now been updated to cover the most important new topics in the field. It’s an excellent collection - useful to anyone working at any level with choice models.’

• Contents:1 Introduction to the Handbook of Choice Modelling 1Stephane Hess and Andrew DalyPART I FOUNDATIONS2 The new science of pleasure: consumer choice behavior and the measurementof well-being 6Daniel McFadden3 Psychological research and theories of preferential choice 49Jared M. Hotaling, Jerome R. Busemeyer and Jörg Rieskamp4 Model building, inference and interpretation: developing discrete choicemodels in the age of machine learning 74Filipe Rodrigues, Rico Krueger and Francisco Camara PereiraPART II OBSERVING PREFERENCES5 Choice context 117Konstadinos G. Goulias and Ram M. Pendyala6 Self-tracing and reporting: state-of-the-art in the capture of revealedbehaviour 147Kay W. Axhausen7 Designing and conducting stated choice experiments 172Michiel C. J. Bliemer and John M. Rose8 Best-worst scaling: theory and methods 206A. A. J. Marley9 Real choices and hypothetical choices 246Glenn W. Harrison10 Virtual reality and choice modelling: existing applications and future researchdirections 276Michael A. B. van Eggermond, Panos Mavros and Alex ErathPART III MODELLING HETEROGENEITY11 Nonparametric approaches to describing heterogeneity 308Mogens Fosgerau12 Attribute processing as a behavioural strategy in stated preference choicemaking 319David A. Hensher and Camila Balbontin13 Alternative decision rules in (travel) choice models: A review and criticaldiscussion 339Caspar G. Chorus and Sander van Cranenburgh14 Latent class structures: taste heterogeneity and beyond 372Stephane HessPART IV EXTENDED DATA AND MODELLING FRAMEWORKS15 Models for ordered choices 393William Greene16 Activity and transportation decisions within households 426André de Palma, Nathalie Picard and Robin Lindsey17 Multiple discrete-continuous choice models: a reflective analysis and aprospective view 452Abdul R. Pinjari, Chandra Bhat, Shobhit Saxena and Aupal Mondal18 Hybrid choice models 489Maya Abou-Zeid and Moshe Ben-Akiva19 Hybrid choice models: the identification problem 522Akshay Vij and Joan L. Walker20 Dynamic choice models 568Michel Bierlaire, Emma Frejinger and Tim HillelPART V SPECIFICATION, ESTIMATION AND INFERENCE21 Numerical methods for optimization-based model estimation and inference 594David S. Bunch22 Bayesian estimation of random utility models 630Peter Lenk23 Endogeneity in discrete choice models 668C. Angelo Guevara24 Sampling and discrete choice 693Michel Bierlaire and Rico KruegerPART VI ANALYSIS AND USE OF RESULTS25 Appraisal 720Anders Karlström26 Forecasting choice 746Andrew DalyIndex 766

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

‘The best is now even better: the Handbook of Choice Modelling, which has been the go-to source for years, has now been updated to cover the most important new topics in the field. It’s an excellent collection - useful to anyone working at any level with choice models.’

• Contents:1 Introduction to the Handbook of Choice Modelling 1Stephane Hess and Andrew DalyPART I FOUNDATIONS2 The new science of pleasure: consumer choice behavior and the measurementof well-being 6Daniel McFadden3 Psychological research and theories of preferential choice 49Jared M. Hotaling, Jerome R. Busemeyer and Jörg Rieskamp4 Model building, inference and interpretation: developing discrete choicemodels in the age of machine learning 74Filipe Rodrigues, Rico Krueger and Francisco Camara PereiraPART II OBSERVING PREFERENCES5 Choice context 117Konstadinos G. Goulias and Ram M. Pendyala6 Self-tracing and reporting: state-of-the-art in the capture of revealedbehaviour 147Kay W. Axhausen7 Designing and conducting stated choice experiments 172Michiel C. J. Bliemer and John M. Rose8 Best-worst scaling: theory and methods 206A. A. J. Marley9 Real choices and hypothetical choices 246Glenn W. Harrison10 Virtual reality and choice modelling: existing applications and future researchdirections 276Michael A. B. van Eggermond, Panos Mavros and Alex ErathPART III MODELLING HETEROGENEITY11 Nonparametric approaches to describing heterogeneity 308Mogens Fosgerau12 Attribute processing as a behavioural strategy in stated preference choicemaking 319David A. Hensher and Camila Balbontin13 Alternative decision rules in (travel) choice models: A review and criticaldiscussion 339Caspar G. Chorus and Sander van Cranenburgh14 Latent class structures: taste heterogeneity and beyond 372Stephane HessPART IV EXTENDED DATA AND MODELLING FRAMEWORKS15 Models for ordered choices 393William Greene16 Activity and transportation decisions within households 426André de Palma, Nathalie Picard and Robin Lindsey17 Multiple discrete-continuous choice models: a reflective analysis and aprospective view 452Abdul R. Pinjari, Chandra Bhat, Shobhit Saxena and Aupal Mondal18 Hybrid choice models 489Maya Abou-Zeid and Moshe Ben-Akiva19 Hybrid choice models: the identification problem 522Akshay Vij and Joan L. Walker20 Dynamic choice models 568Michel Bierlaire, Emma Frejinger and Tim HillelPART V SPECIFICATION, ESTIMATION AND INFERENCE21 Numerical methods for optimization-based model estimation and inference 594David S. Bunch22 Bayesian estimation of random utility models 630Peter Lenk23 Endogeneity in discrete choice models 668C. Angelo Guevara24 Sampling and discrete choice 693Michel Bierlaire and Rico KruegerPART VI ANALYSIS AND USE OF RESULTS25 Appraisal 720Anders Karlström26 Forecasting choice 746Andrew DalyIndex 766