Journal of choice modelling

2012 - 2025

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

From Elsevier
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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

Volume 28, issue C, 2018

Reducing the anchoring bias in multiple question CV surveys pp. 1-9

Victor Champonnois, Olivier Chanel and Khaled Makhloufi

Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions pp. 10-27

Vincenzina Caputo, Riccardo Scarpa, Rodolfo Nayga and David Ortega

Identifying the presence of heterogeneous discrete choice heuristics at an individual level pp. 28-40

Felipe Gonzalez-Valdes and Sebastián Raveau

Estimation of factor structured covariance mixed logit models pp. 41-55

Jonathan James

Understanding activity engagement across weekdays and weekend days: A multivariate multiple discrete-continuous modeling approach pp. 56-70

Sebastian Astroza, Prerna C. Bhat, Chandra R. Bhat, Ram M. Pendyala and Venu M. Garikapati

Estimating the reference frame: A smooth twice-differentiable utility function for non-compensatory loss-averse decision-making pp. 71-81

Francisco J. Bahamonde-Birke

A choice model for mixed decision variables pp. 82-96

Sanghak Lee, Hyowon Kim, Jaehwan Kim and Greg M. Allenby

Value of travel time as a function of comfort pp. 97-107

Marco Kouwenhoven and Gerard de Jong

Estimation of an unbalanced panel data Tobit model with interactive effects pp. 108-123

Xiaoqing Ye, Juan Xu and Xiangjun Wu

Fishermen's location choice under spatio-temporal update of expectations pp. 124-136

Barbara Hutniczak and Angela Münch

Vehicle choice and utilization: Improving estimation with partially observed choices and hybrid pairs pp. 137-152

Alicia Lloro and David Brownstone

Mitigating strategic misrepresentation of values in open-ended stated preference surveys by using negative reinforcement pp. 153-166

Romain Crastes dit Sourd, Ewa Zawojska, Pierre-Alexandre Mahieu and Jordan Louviere

Is your dataset big enough? Sample size requirements when using artificial neural networks for discrete choice analysis pp. 167-182

Ahmad Alwosheel, Sander van Cranenburgh and Caspar Chorus

Volume 27, issue C, 2018

Measuring respondent uncertainty in discrete choice experiments via utility suppression pp. 1-18

Yu-Cheng Ku and John Wu

A model for broad choice data pp. 19-36

David Brownstone and Phillip Li

Taboo trade-off aversion: A discrete choice model and empirical analysis pp. 37-49

Caspar Chorus, Baiba Pudāne, Niek Mouter and Danny Campbell

Individual-specific point and interval conditional estimates of latent class logit parameters pp. 50-61

Mauricio Sarrias and Ricardo Daziano

Quantum paradigm of probability amplitude and complex utility in entangled discrete choice modeling pp. 62-73

Stan Lipovetsky

The Stochastic Satisficing model: A bounded rationality discrete choice model pp. 74-87

Felipe González-Valdés and Juan de Dios Ortúzar

Extending the logit-mixed logit model for a combination of random and fixed parameters pp. 88-96

Prateek Bansal, Ricardo Daziano and Martin Achtnicht

Comparison of parametric and semiparametric representations of unobserved preference heterogeneity in logit models pp. 97-113

Prateek Bansal, Ricardo Daziano and Martin Achtnicht