Journal of choice modelling

2012 - 2025

Current editor(s): S. Hess and J.M. Rose

From Elsevier
Bibliographic data for series maintained by Catherine Liu ().

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Volume 41, issue C, 2021

Estimating decision rule differences between ‘best’ and ‘worst’ choices in a sequential best worst discrete choice experiment

Nejc Geržinič, Sander van Cranenburgh, Oded Cats, Emily Lancsar and Caspar Chorus

Joint analysis of preferences and drop out data in discrete choice experiments

Leonard Maaya, Michel Meulders and Martina Vandebroek

Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimaging

Milad Haghani, Michiel Bliemer, John M. Rose, Harmen Oppewal and Emily Lancsar

Using choice experiments to improve equity in access to socially marketed HIV prevention products

Fern Terris-Prestholt, Abay Mulatu, Matthew Quaife, Mitzy Gafos, Graham F. Medley, Catherine MacPhail and Kara Hanson

Latent class choice model with a flexible class membership component: A mixture model approach

Georges Sfeir, Maya Abou-Zeid, Filipe Rodrigues, Francisco Camara Pereira and Isam Kaysi

Attribute range effects: Preference anomaly or unexplained variance?

Angel Bujosa Bestard and Antoni Riera Font

Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods

Milad Haghani, Michiel Bliemer, John M. Rose, Harmen Oppewal and Emily Lancsar

Evaluating the predictive abilities of mixed logit models with unobserved inter- and intra-individual heterogeneity

Rico Krueger, Michel Bierlaire, Ricardo A. Daziano, Taha H. Rashidi and Prateek Bansal

Disentangling the effects of unobserved factors on seatbelt use choices in multi-occupant vehicles

Amir Pooyan Afghari, Ahmadreza Faghih Imani, Eleonora Papadimitriou, Pieter van Gelder and Amin Mohamadi Hezaveh

Case 2 best-worst scaling: For good or for bad but not for both

V. Soekhai, Bas Donkers, B. Levitan and E.W. de Bekker-Grob

Marginal compensated effects in discrete labor supply models

John K. Dagsvik, Steinar Strøm and Marilena Locatelli

Volume 40, issue C, 2021

Quantum utility and random utility model for path choice modelling: Specification and aggregate calibration from traffic counts

Massimo Di Gangi and Antonino Vitetta

Who is watching out for me? Quantifying fear of crime mitigation attributes using a choice experiment approach among adolescents and their parents

Jacob Ladenburg, Britt Ø. Larsen, Nichlas P. Berger and Leif Olsen

“Whose plan is it?” understanding how the goal pursuit of consumers and carers influence choices in the australian disability sector

Flavio Souza, Gordon Duff and Joffre Swait

A two recursive equation model to correct for endogeneity in latent class binary probit models

Mauricio Sarrias

Separating generalizable from source-specific preference heterogeneity in the fusion of revealed and stated preferences

Leonard V. Coote, Joffre Swait and Wiktor Adamowicz

The landscape of econometric discrete choice modelling research

Milad Haghani, Michiel Bliemer and David Hensher

Joint modelling of choice and rating data: Theory and examples

Edward J.D. Webb and Stephane Hess

What factors influence HIV testing? Modeling preference heterogeneity using latent classes and class-independent random effects

Jan Ostermann, Brian P. Flaherty, Derek S. Brown, Bernard Njau, Amy M. Hobbie, Tara B. Mtuy, Max Masnick, Axel C. Mühlbacher and Nathan M. Thielman

Longitudinal investigation of skeletal activity episode timing decisions – A copula approach

Gozde Ozonder and Eric J. Miller

Volume 39, issue C, 2021

Eliciting individual preferences for immigrants in the Dominican Republic. Results from two choice experiments

Raul Jimenez Mori

Distortions in willingness-to-pay for public goods induced by endemic distrust in institutions

Habtamu Tilahun Kassahun, Joffre Swait and Jette Bredahl Jacobsen

Predicting strategic medical choices: An application of a quantal response equilibrium choice model

Ge Ge and Geir Godager

Computationally efficient forecasting procedures for Kuhn-Tucker consumer demand model systems: Application to residential energy consumption analysis

Abdul Rawoof Pinjari and Chandra Bhat

mixl: An open-source R package for estimating complex choice models on large datasets

Joseph Molloy, Felix Becker, Basil Schmid and Kay W. Axhausen

Assisted specification of discrete choice models

Nicola Ortelli, Tim Hillel, Francisco C. Pereira, Matthieu de Lapparent and Michel Bierlaire

A day in the life with an automated vehicle: Empirical analysis of data from an interactive stated activity-travel survey

Baiba Pudāne, Sander van Cranenburgh and Caspar G. Chorus

Activity behavior of residents of Paraisópolis slum: Analysis of multiday activity patterns using data collected with smartphones

Bruna Pizzol, Orlando Strambi, Mariana Giannotti, Renato Oliveira Arbex and Bianca Bianchi Alves

A hierarchical agent-based approach to simulate a dynamic decision-making process of evacuees using reinforcement learning

Sajjad Hassanpour, Amir Abbas Rassafi, Vicente A. González and Jiamou Liu

bwsTools: An R package for case 1 best-worst scaling

Mark H. White

Volume 38, issue C, 2021

A systematic review of machine learning classification methodologies for modelling passenger mode choice

Tim Hillel, Michel Bierlaire, Mohammed Z.E.B. Elshafie and Ying Jin

Estimation of discrete choice models with hybrid stochastic adaptive batch size algorithms

Gael Lederrey, Virginie Lurkin, Tim Hillel and Michel Bierlaire

Characterising heterogeneity and the role of attitudes in patient preferences: A case study in preferences for outpatient parenteral intravenous antimicrobial therapy (OPAT) services

Stephane Hess, David Meads, Maureen Twiddy, Sam Mason, Carolyn Czoski-Murray and Jane Minton

A note on the large sample properties of the welfare change estimator in linear-in-income logit

Paolo Delle Site

Consumer ‘app-etite’ for workers' rights in the Australian ‘gig’ economy

Brett Smith, Caleb Goods, Tom Barratt and Alex Veen

A discrete choice modeling approach to measure susceptibility and subjective valuation of the decoy effect, with an application to route choice

Mitsuyoshi Fukushi, Cristian Guevara and Sebastián Maldonado

The overreliance on statistical goodness-of-fit and under-reliance on model validation in discrete choice models: A review of validation practices in the transportation academic literature

Giancarlos Parady, David Ory and Joan Walker

Anchoring on visual cues in a stated preference survey: The case of siting offshore wind power projects

George Parsons and Lingxiao Yan

What works better for preference elicitation among older people? Cognitive burden of discrete choice experiment and case 2 best-worst scaling in an online setting

Sebastian Himmler, Vikas Soekhai, Job van Exel and Werner Brouwer

Measuring public preferences between health and social care funding options

Hui Lu, Peter Burge and Jon Sussex

Activity participation, episode duration and stop-making behavior of pilgrims in a religious event: An exploratory analysis

Ashish Verma, Meghna Verma, Punyabeet Sarangi, Vivek Yadav and Manoj M

Does charity begin at home for air pollution reductions? Unraveling intra familial altruism

Olivier Chanel, Stéphane Luchini and Jason Shogren

Mapping potentials and challenges of choice modelling for social science research

Ulf Liebe and Jürgen Meyerhoff

Volume 37, issue C, 2020

Menu-choice modeling with interactions and heterogeneous correlated preferences

Wagner A. Kamakura and Kyuseop Kwak

Loss aversion, reference dependence and diminishing sensitivity in choice experiments

Anthony Scott and Julia Witt

Can local communities afford full control over wildlife conservation? The case of Zimbabwe

Herbert Ntuli, Edwin Muchapondwa and Boscow Okumu

What sort of Brexit do the British people want? A longitudinal study examining the ‘trade-offs’ people would be willing to make in reaching a Brexit deal

Hui Lu, Charlene Rohr, David Howarth, Alexandra Pollitt and Jonathan Grant

Quantum choice models: A flexible new approach for understanding moral decision-making

Thomas O. Hancock, Jan Broekaert, Stephane Hess and Charisma F. Choudhury

Multitask learning deep neural networks to combine revealed and stated preference data

Shenhao Wang, Qingyi Wang and Jinhua Zhao

Segmentation of theatre audiences: A latent class approach for combined data

Alina Ozhegova and Evgeniy M. Ozhegov

The value of leisure time of weekends and long holidays: The multiple discrete–continuous extreme value (MDCEV) choice model with triple constraints

Koichi Kuriyama, Yasushi Shoji and Takahiro Tsuge

Estimating installed-base effects in product adoption: Borrowing IVs from the dynamic panel data literature

Minjung Park

Choice data generation using usage scenarios and discounted cash flow analysis

Ungki Lee, Namwoo Kang and Ikjin Lee

On the use of virtual immersive reality for discrete choice experiments to modelling pedestrian behaviour

Julian Arellana, L. Garzón, J. Estrada and Victor Cantillo

Can incentive-compatibility reduce hypothetical bias in smokers’ experimental choice behavior? A randomized discrete choice experiment

John Buckell, Justin S. White and Ce Shang