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 36, issue C, 2020

Individual-specific posterior distributions from Mixed Logit models: Properties, limitations and diagnostic checks

Mauricio Sarrias

Product availability in discrete choice experiments with private goods

Daniel Chavez, Marco Palma, Rodolfo Nayga and James W. Mjelde

The analysis of influences of attitudes on mode choice under highly unbalanced mode share patterns

Yen Tran, Toshiyuki Yamamoto, Hitomi Sato, Tomio Miwa and Takayuki Morikawa

Robustness of Student link function in multinomial choice models

Dr Jean Peyhardi

A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles

Rico Krueger, Taha H. Rashidi and Akshay Vij

Using eye-tracking as an aid to design on-screen choice experiments

Emilia Cubero Dudinskaya, Simona Naspetti and Raffaele Zanoli

Volume 35, issue C, 2020

Logit mixture with inter and intra-consumer heterogeneity and flexible mixing distributions

Mazen Danaf, Bilge Atasoy and Moshe Ben-Akiva

Identifying most typical and most ideal attribute levels in small populations of expert decision makers: Studying the Go/No Go decision of disaster relief organizations

Paul Isihara, Chaojun Shi, Jonathan Ward, Leo O'Malley, Skyler Laney, Danilo Diedrichs and Gabriel Flores

Volume 34, issue C, 2020

An assessment of the ecological validity of immersive videos in stated preference surveys

Tomás Rossetti and Ricardo Hurtubia

Handling resolvable uncertainty from incomplete scenarios in future doctors' job choice – Probabilities vs discrete choices

Line Bjørnskov Pedersen, Morten Mørkbak and Riccardo Scarpa

Endogeneity in adaptive choice contexts: Choice-based recommender systems and adaptive stated preferences surveys

Mazen Danaf, Cristian Guevara, Bilge Atasoy and Moshe Ben-Akiva

On the ecological fallacy in discrete-choice models

Nils Herger

Choice modelling in social networks using stochastic actor-oriented models

Sebastian Pink, David Kretschmer and Lars Leszczensky

Choosing to cooperate: Modelling public goods games with team reasoning

Corinna Elsenbroich and Nicolas Payette

Volume 33, issue C, 2019

A web survey application of real choice experiments

Ulf Liebe, Klaus Glenk, Marie von Meyer-Höfer and Achim Spiller

Analysis of the economic impact of water management policy on residential prices: Modifying choice set formation in a discrete house choice analysis

Hyun No Kim, Peter Boxall and Wiktor Adamowicz

Valuation of labour market entrance positions among (future) apprentices - Results from two discrete choice experiments

Sara Möser, David Glauser and Rolf Becker

Heterogeneity and college choice: Latent class modelling for improved policy making

Alejandro Schmidt, Juan de Dios Ortúzar and Ricardo D. Paredes

‘Computer says no’ is not enough: Using prototypical examples to diagnose artificial neural networks for discrete choice analysis

Ahmad Alwosheel, Sander van Cranenburgh and Caspar Chorus

Modelling taste heterogeneity regarding offence location choices

Michael Frith

Volume 32, issue C, 2019

A practical approach to designing partial-profile choice experiments with two alternatives for estimating main effects and interactions of many two-level attributes pp. -

Heiko Großmann

Investigating users' preferences for Low Emission Buses: Experiences from Europe's largest hydrogen bus fleet pp. -

Luis Enrique Loría, Verity Watson, Takahiko Kiso and Euan Phimister

An R package and tutorial for case 2 best–worst scaling pp. -

Hideo Aizaki and James Fogarty

Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application pp. -

Stephane Hess and David Palma

Cost attribute in health care DCEs: Just adding another attribute or a trigger of change in the stated preferences? pp. -

Ivan Sever, Miroslav Verbič and Eva Klarić Sever

Volume 31, issue C, 2019

Using Firth's method for model estimation and market segmentation based on choice data pp. 1-21

Roselinde Kessels, Bradley Jones and Peter Goos

Destination choice modeling using location-based social media data pp. 22-34

Md Mehedi Hasnat, Ahmadreza Faghih-Imani, Naveen Eluru and Samiul Hasan

Context-aware stated preferences with smartphone-based travel surveys pp. 35-50

Mazen Danaf, Bilge Atasoy, Carlos Lima de Azevedo, Jing Ding-Mastera, Maya Abou-Zeid, Nathaniel Cox, Fang Zhao and Moshe Ben-Akiva

On the effect of HB covariance matrix prior settings: A simulation study pp. 51-72

Maren Hein, Peter Kurz and Winfried J. Steiner

Simulation error in maximum likelihood estimation of discrete choice models pp. 73-85

Mikolaj Czajkowski and Wiktor Budzinski

Arriving at a decision: A semi-parametric approach to institutional birth choice in India pp. 86-103

Prateek Bansal, Ricardo A. Daziano and Naveen Sunder

New software tools for creating stated choice experimental designs efficient for regret minimisation and utility maximisation decision rules pp. 104-123

Sander van Cranenburgh and Andrew Collins

Flexible estimates of heterogeneity in crowding valuation in the New York City subway pp. 124-140

Prateek Bansal, Ricardo Hurtubia, Alejandro Tirachini and Ricardo A. Daziano

Using panel data for modelling duration dynamics of outdoor leisure activities pp. 141-155

Lissy La Paix Puello, Saidul Chowdhury and Karst Geurs

In-store or online shopping of search and experience goods: A hybrid choice approach pp. 156-180

Basil Schmid and Kay W. Axhausen

Information theoretic-based sampling of observations pp. 181-197

Sander van Cranenburgh and Michiel Bliemer

Airline itinerary choice modeling using machine learning pp. 198-209

Alix Lhéritier, Michael Bocamazo, Thierry Delahaye and Rodrigo Acuna-Agost

Aggregation biases in discrete choice models pp. 210-221

Timothy Wong, David Brownstone and David S. Bunch

Volume 30, issue C, 2019

On consistency of the MACML approach to discrete choice modelling pp. 1-16

Manuel Batram and Dietmar Bauer

Selection bias in estimation of peer effects in product adoption pp. 17-27

Minjung Park

Willingness to pay functions for emergency ambulance services pp. 28-37

Maira Delgado-Lindeman, Julian Arellana and Victor Cantillo

Explore preference heterogeneity for treatment among people with Type 2 diabetes: A comparison of random-parameters and latent-class estimation techniques pp. 38-49

Mo Zhou and John F.P. Bridges

Specification of mixed logit models assisted by an optimization framework pp. 50-60

Alexander Paz, Cristian Arteaga and Carlos Cobos

Best-Worst Scaling with many items pp. 61-72

Keith Chrzan and Megan Peitz

Are non-monetary payment modes more uncertain for stated preference elicitation in developing countries? pp. 73-87

Godwin Kofi Vondolia and Stale Navrud

Volume 29, issue C, 2018

Consumer inattention and the demand for vehicle fuel cost savings pp. 1-16

Benjamin Leard

Testing the effect of changes in elicitation format, payment vehicle and bid range on the hypothetical bias for moral goods pp. 17-32

Lea S. Svenningsen and Jette Bredahl Jacobsen

When do social cues and scientific information affect stated preferences? Insights from an experiment on air pollution pp. 33-46

Dominique Ami, Frédéric Aprahamian, Olivier Chanel and Stéphane Luchini

Exploring the latent constructs behind the use of ridehailing in California pp. 47-62

Farzad Alemi, Giovanni Circella, Patricia Mokhtarian and Susan Handy

Modelling the loss and retention of contacts in social networks: The role of dyad-level heterogeneity and tie strength pp. 63-77

Chiara Calastri, Stephane Hess, Andrew Daly, Juan Antonio Carrasco and Charisma Choudhury

Asymmetric, closed-form, finite-parameter models of multinomial choice pp. 78-112

Timothy Brathwaite and Joan L. Walker

The effect of attribute-alternative matrix displays on preferences and processing strategies pp. 113-132

Erlend Dancke Sandorf, Romain Crastes dit Sourd and Pierre-Alexandre Mahieu

Bayesian estimation of mixed logit models: Selecting an appropriate prior for the covariance matrix pp. 133-151

Deniz Akinc and Martina Vandebroek

Discriminative conditional restricted Boltzmann machine for discrete choice and latent variable modelling pp. 152-168

Melvin Wong, Bilal Farooq and Guillaume-Alexandre Bilodeau