Journal of Choice Modelling

Papers
(The TQCC of Journal of Choice Modelling is 5. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
On the impact of decision rule assumptions in experimental designs on preference recovery: An application to climate change adaptation measures66
Editorial Board63
Cube model: Predictions and account for best–worst choice situations with three choice alternatives60
Predicting choices of street-view images: A comparison between discrete choice models and machine learning models47
Modelling household online shopping and home delivery demand using latent class & ordinal generalized extreme value (GEV) models28
Estimating decision rule differences between ‘best’ and ‘worst’ choices in a sequential best worst discrete choice experiment25
Capturing trade-offs between daily scheduling choices25
Evaluating the predictive abilities of mixed logit models with unobserved inter- and intra-individual heterogeneity21
A Bayesian generalized rank ordered logit model20
The impact of violations of expected utility theory on choices in the face of multiple risks20
Decision field theory: An extension for real-world settings18
Longitudinal investigation of skeletal activity episode timing decisions – A copula approach13
Australian community preferences for hotel quarantine options within the Logit Mixed Logit Model framework13
Editorial Board13
Estimating a model of forward-looking behavior with discrete choice experiments: The case of lifetime hunting license demand12
Utilising activity space concepts to sampling of alternatives for mode and destination choice modelling of discretionary activities12
Testing for saliency-led choice behavior in discrete choice modeling: An application in the context of preferences towards nuclear energy in Italy12
Optimal sequential strategy to improve the precision of the estimators in a discrete choice experiment: A simulation study11
Weibit choice models: Properties, mode choice application and graphical illustrations11
Editorial Board10
Building a life-course intertemporal discrete choice model to analyze migration biographies10
A Bayesian hierarchical approach to the joint modelling of Revealed and stated choices10
Editorial Board10
Modeling preference heterogeneity using model-based decision trees9
Editorial Board9
Models of moral decision making: Theory and empirical applications in various domains9
Editorial Board9
A hierarchical Bayesian logit model for spatial multivariate choice data9
Separating generalizable from source-specific preference heterogeneity in the fusion of revealed and stated preferences8
Editorial Board8
Preference estimation from point allocation experiments8
A consistent moment equations for binary probit models with endogenous variables using instrumental variables8
Joint analysis of preferences and drop out data in discrete choice experiments7
One or two-step? Evaluating GMM efficiency for spatial binary probit models6
Outside good utility and substitution patterns in direct utility models6
A micro-econometric framework for Participatory Value Evaluation6
Predicting strategic medical choices: An application of a quantal response equilibrium choice model6
Real payment priming to reduce potential hypothetical bias6
Control Function Approach for Addressing Endogeneity in Transport Models: A Case Study on the London–Amsterdam Route6
Integrating a choice experiment into an agent-based model to simulate climate-change induced migration: The case of the Mekong River Delta, Vietnam5
Attribute range effects: Preference anomaly or unexplained variance?5
Capturing the effect of multiple social influence sources on the adoption of new transport technologies and services5
Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods5
Exploring the subscribing behavior of customized bus passengers: Active users versus inactive users5
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