OOIR: Observatory of International Research

Papers

(The median citation count of Journal of Choice Modelling is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)

Article	Citations
On the impact of decision rule assumptions in experimental designs on preference recovery: An application to climate change adaptation measures	101
Modelling household online shopping and home delivery demand using latent class & ordinal generalized extreme value (GEV) models	44
Cube model: Predictions and account for best–worst choice situations with three choice alternatives	36
Quantifying the value of carbon label information in food choice using drift diffusion modelling	34
Predicting choices of street-view images: A comparison between discrete choice models and machine learning models	29
A Bayesian generalized rank ordered logit model	25
Capturing trade-offs between daily scheduling choices	21
Australian community preferences for hotel quarantine options within the Logit Mixed Logit Model framework	16
The impact of violations of expected utility theory on choices in the face of multiple risks	16
Testing for saliency-led choice behavior in discrete choice modeling: An application in the context of preferences towards nuclear energy in Italy	16
A Bayesian hierarchical approach to the joint modelling of Revealed and stated choices	15
Decision field theory: An extension for real-world settings	15
Editorial Board	14
Optimal sequential strategy to improve the precision of the estimators in a discrete choice experiment: A simulation study	14
Weibit choice models: Properties, mode choice application and graphical illustrations	13
Estimating a model of forward-looking behavior with discrete choice experiments: The case of lifetime hunting license demand	12
Editorial Board	11
Modeling preference heterogeneity using model-based decision trees	11
Utilising activity space concepts to sampling of alternatives for mode and destination choice modelling of discretionary activities	11
Building a life-course intertemporal discrete choice model to analyze migration biographies	10
Editorial Board	10
Can an ‘informed’ general population sample be comparable to a patient sample? A case study of preferences for chemotherapy induced peripheral neuropathy	10
A hierarchical Bayesian logit model for spatial multivariate choice data	9
Editorial Board	8
A consistent moment equations for binary probit models with endogenous variables using instrumental variables	8

Control Function Approach for Addressing Endogeneity in Transport Models: A Case Study on the London–Amsterdam Route	8
Preference estimation from point allocation experiments	8
One or two-step? Evaluating GMM efficiency for spatial binary probit models	7
A smooth bounded choice model: Formulation and application in three large-scale case studies	7
A micro-econometric framework for Participatory Value Evaluation	7
Outside good utility and substitution patterns in direct utility models	7
Real payment priming to reduce potential hypothetical bias	6
Exploring the subscribing behavior of customized bus passengers: Active users versus inactive users	6
Climate change adaptation preferences of winemakers from the Rioja wine appellation	6
Exploring the choice landscape: Anchoring and framing effects on search behavior in complex choices	6
Capturing the effect of multiple social influence sources on the adoption of new transport technologies and services	6
Analysis of attribute importance in multinomial logit models using Shapley values-based methods	6
A method to integrate strategic alignment in freight transportation behavioral models	6
Integrating a choice experiment into an agent-based model to simulate climate-change induced migration: The case of the Mekong River Delta, Vietnam	6
New misspecification tests for multinomial logit models	5
An assessment of the current use of hybrid choice models in environmental economics, and considerations for future applications	5
Characterizing the impact of discrete indicators to correct for endogeneity in discrete choice models	5
The interdependence between hospital choice and waiting time — with a case study in urban China	5
How to ask twenty questions and win: Machine learning tools for assessing preferences from small samples of willingness-to-pay prices	5
Editorial Board	4
Departure time choices and a modeling framework for a guidance system	4
Resampling estimation of discrete choice models	4
The effect of perceived risk of false diagnosis on preferences for COVID-19 testing: Evidence from the United States	4
A Bayesian instrumental variable model for multinomial choice with correlated alternatives	4
Editorial Board	4
A control-function correction for endogeneity in random coefficients models: The case of choice-based recommender systems	4
Preferences for online grocery shopping during the COVID-19 pandemic — the role of fear-related attitudes	4
Context-aware Bayesian mixed multinomial logit model	4
Distribution-free estimation of individual parameter logit (IPL) models using combined evolutionary and optimization algorithms	4
An Experience-Based Choice Model (EBCM): Formulation, identification, behavioural insights and well-being assessment	4
Modeling the relationship between food purchasing, transport, and health outcomes: Evidence from Concepcion, Chile	4
Cost vector effects in discrete choice experiments with positive status quo cost	4
Level overlap and level color coding revisited: Improved attribute attendance and higher choice consistency in discrete choice experiments	3
Editorial Board	3
The value of consideration data in a discrete choice experiment	3
xlogit: An open-source Python package for GPU-accelerated estimation of Mixed Logit models	3
Location choice of residential housing supply: An application of the multiple discrete-continuous extreme value (MDCEV) model	3
Seen but not considered? Awareness and consideration in choice analysis	3
Attitudes and Latent Class Choice Models using Machine Learning	3
Applications of discrete choice experiments in COVID-19 research: Disparity in survey qualities between health and transport fields	3
To pool or not to pool: Accounting for task non-attendance in subgroup analysis	3
Recursive logit models for dynamic versus sequential trip chaining	3
Special issue on choice modelling in health - Editorial	3
Separation-based parameterization strategies for estimation of restricted covariance matrices in multivariate model systems	3
Editorial Board	3
Preference reversal: Analysis using construal level theory that incorporates discounting	2
Choice models with stochastic variables and random coefficients	2
A choice experiment approach to evaluate maize farmers’ decision-making processes in Lao PDR	2
Choice experiments with facial expression analysis: How do emotions affect wine choices?	2
Quantifying behavioural difference in latent class models to assess empirical identifiability: Analytical development and application to multiple heuristics	2

On-demand transit user preference analysis using hybrid choice models	2
Cost vector effects in forced-choice discrete choice experiments: Assessing the acceptability of future glyphosate policies	2
Discrete choice experiments with eye-tracking: How far we have come and ways forward	2
Mitigating hypothetical bias in choice Experiments: An in-depth review on the use of cheap talk	2
The route choices of pedestrians under crowded and non-emergency conditions: Two-route experiments and modeling	2
Revealing and reducing bias when modelling choice behaviour on imbalanced panel datasets	2
A novel algorithm for drawing nested extreme value random variables	2
Travel behaviour and game theory: A review of route choice modeling behaviour	2
Decision Field Theory: Equivalence with probit models and guidance for identifiability	2
Reducing sample size requirements by extending discrete choice experiments to indifference elicitation	2
Exploring the behavioral stage transition of traveler's adoption of carsharing: An integrated choice and latent variable model	2