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 2020-11-01 to 2024-11-01.)
ArticleCitations
A systematic review of machine learning classification methodologies for modelling passenger mode choice58
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 literature58
Choice modelling in the age of machine learning - Discussion paper53
Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods52
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 neuroimag50
The landscape of econometric discrete choice modelling research38
Multitask learning deep neural networks to combine revealed and stated preference data21
Computationally efficient forecasting procedures for Kuhn-Tucker consumer demand model systems: Application to residential energy consumption analysis20
mixl: An open-source R package for estimating complex choice models on large datasets19
Consumer ‘app-etite’ for workers' rights in the Australian ‘gig’ economy19
Mapping potentials and challenges of choice modelling for social science research17
On the use of virtual immersive reality for discrete choice experiments to modelling pedestrian behaviour16
Evaluating the predictive abilities of mixed logit models with unobserved inter- and intra-individual heterogeneity16
Capturing the effect of multiple social influence sources on the adoption of new transport technologies and services15
xlogit: An open-source Python package for GPU-accelerated estimation of Mixed Logit models15
R packages and tutorial for case 1 best–worst scaling14
What works better for preference elicitation among older people? Cognitive burden of discrete choice experiment and case 2 best-worst scaling in an online setting13
The rise of best-worst scaling for prioritization: A transdisciplinary literature review13
Assisted specification of discrete choice models13
Quantum utility and random utility model for path choice modelling: Specification and aggregate calibration from traffic counts13
The value of leisure time of weekends and long holidays: The multiple discrete–continuous extreme value (MDCEV) choice model with triple constraints11
A hierarchical agent-based approach to simulate a dynamic decision-making process of evacuees using reinforcement learning11
Predicting strategic medical choices: An application of a quantal response equilibrium choice model10
Latent class choice model with a flexible class membership component: A mixture model approach10
Quantum choice models: A flexible new approach for understanding moral decision-making10
Weibit choice models: Properties, mode choice application and graphical illustrations9
Capturing trade-offs between daily scheduling choices9
Disentangling the effects of unobserved factors on seatbelt use choices in multi-occupant vehicles9
Distortions in willingness-to-pay for public goods induced by endemic distrust in institutions8
A day in the life with an automated vehicle: Empirical analysis of data from an interactive stated activity-travel survey8
Matching reality: A basket and expenditure based choice experiment with sensory preferences8
bwsTools: An R package for case 1 best-worst scaling8
Anchoring on visual cues in a stated preference survey: The case of siting offshore wind power projects8
Can incentive-compatibility reduce hypothetical bias in smokers’ experimental choice behavior? A randomized discrete choice experiment8
Extensive hypothesis testing for estimation of mixed-Logit models7
Case 2 best-worst scaling: For good or for bad but not for both6
How to ask twenty questions and win: Machine learning tools for assessing preferences from small samples of willingness-to-pay prices6
Activity participation, episode duration and stop-making behavior of pilgrims in a religious event: An exploratory analysis5
Measuring public preferences between health and social care funding options5
Estimation of discrete choice models with hybrid stochastic adaptive batch size algorithms5
Can local communities afford full control over wildlife conservation? The case of Zimbabwe5
Volumetric choice experiments (VCEs)5
Exploring the behavioral stage transition of traveler's adoption of carsharing: An integrated choice and latent variable model5
Preferences for online grocery shopping during the COVID-19 pandemic — the role of fear-related attitudes5
Activity behavior of residents of Paraisópolis slum: Analysis of multiday activity patterns using data collected with smartphones5
Formative versus reflective attitude measures: Extending the hybrid choice model5
Exploring the subscribing behavior of customized bus passengers: Active users versus inactive users5
Sample size selection for discrete choice experiments using design features5
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