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 2020-11-01 to 2024-11-01.)

Article	Citations
A systematic review of machine learning classification methodologies for modelling passenger mode choice	58
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 literature	58
Choice modelling in the age of machine learning - Discussion paper	53
Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods	52
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 neuroimag	50
The landscape of econometric discrete choice modelling research	38
Multitask learning deep neural networks to combine revealed and stated preference data	21
Computationally efficient forecasting procedures for Kuhn-Tucker consumer demand model systems: Application to residential energy consumption analysis	20
Consumer ‘app-etite’ for workers' rights in the Australian ‘gig’ economy	19
mixl: An open-source R package for estimating complex choice models on large datasets	19
Mapping potentials and challenges of choice modelling for social science research	17
Evaluating the predictive abilities of mixed logit models with unobserved inter- and intra-individual heterogeneity	16
On the use of virtual immersive reality for discrete choice experiments to modelling pedestrian behaviour	16
Capturing the effect of multiple social influence sources on the adoption of new transport technologies and services	15
xlogit: An open-source Python package for GPU-accelerated estimation of Mixed Logit models	15
R packages and tutorial for case 1 best–worst scaling	14
The rise of best-worst scaling for prioritization: A transdisciplinary literature review	13
Assisted specification of discrete choice models	13
Quantum utility and random utility model for path choice modelling: Specification and aggregate calibration from traffic counts	13
What works better for preference elicitation among older people? Cognitive burden of discrete choice experiment and case 2 best-worst scaling in an online setting	13
A hierarchical agent-based approach to simulate a dynamic decision-making process of evacuees using reinforcement learning	11
The value of leisure time of weekends and long holidays: The multiple discrete–continuous extreme value (MDCEV) choice model with triple constraints	11
Latent class choice model with a flexible class membership component: A mixture model approach	10
Quantum choice models: A flexible new approach for understanding moral decision-making	10
Predicting strategic medical choices: An application of a quantal response equilibrium choice model	10

Weibit choice models: Properties, mode choice application and graphical illustrations	9
Capturing trade-offs between daily scheduling choices	9
Disentangling the effects of unobserved factors on seatbelt use choices in multi-occupant vehicles	9
Distortions in willingness-to-pay for public goods induced by endemic distrust in institutions	8
A day in the life with an automated vehicle: Empirical analysis of data from an interactive stated activity-travel survey	8
Matching reality: A basket and expenditure based choice experiment with sensory preferences	8
bwsTools: An R package for case 1 best-worst scaling	8
Anchoring on visual cues in a stated preference survey: The case of siting offshore wind power projects	8
Can incentive-compatibility reduce hypothetical bias in smokers’ experimental choice behavior? A randomized discrete choice experiment	8
Extensive hypothesis testing for estimation of mixed-Logit models	7
How to ask twenty questions and win: Machine learning tools for assessing preferences from small samples of willingness-to-pay prices	6
Case 2 best-worst scaling: For good or for bad but not for both	6
Volumetric choice experiments (VCEs)	5
Exploring the behavioral stage transition of traveler's adoption of carsharing: An integrated choice and latent variable model	5
Preferences for online grocery shopping during the COVID-19 pandemic — the role of fear-related attitudes	5
Activity behavior of residents of Paraisópolis slum: Analysis of multiday activity patterns using data collected with smartphones	5
Formative versus reflective attitude measures: Extending the hybrid choice model	5
Exploring the subscribing behavior of customized bus passengers: Active users versus inactive users	5
Sample size selection for discrete choice experiments using design features	5
Activity participation, episode duration and stop-making behavior of pilgrims in a religious event: An exploratory analysis	5
Measuring public preferences between health and social care funding options	5
Estimation of discrete choice models with hybrid stochastic adaptive batch size algorithms	5
Can local communities afford full control over wildlife conservation? The case of Zimbabwe	5
A discrete choice modeling approach to measure susceptibility and subjective valuation of the decoy effect, with an application to route choice	4
Using choice experiments to improve equity in access to socially marketed HIV prevention products	4
Instability in mixed logit demand models	4
Applications of discrete choice experiments in COVID-19 research: Disparity in survey qualities between health and transport fields	4
Matching and weighting in stated preferences for health care	4
Discrete choice experiments with eye-tracking: How far we have come and ways forward	4
Long-distance mode choice model estimation using mobile phone network data	4
Separating generalizable from source-specific preference heterogeneity in the fusion of revealed and stated preferences	4
A two recursive equation model to correct for endogeneity in latent class binary probit models	4
Seen but not considered? Awareness and consideration in choice analysis	4
One or two-step? Evaluating GMM efficiency for spatial binary probit models	4
A Bayesian instrumental variable model for multinomial choice with correlated alternatives	4
Utilising activity space concepts to sampling of alternatives for mode and destination choice modelling of discretionary activities	3
Choice models with stochastic variables and random coefficients	3
Characterizing the impact of discrete indicators to correct for endogeneity in discrete choice models	3
Quantifying behavioural difference in latent class models to assess empirical identifiability: Analytical development and application to multiple heuristics	3
Data-driven assisted model specification for complex choice experiments data: Association rules learning and random forests for Participatory Value Evaluation experiments	3
Segmentation of theatre audiences: A latent class approach for combined data	3
Stated choice analysis of preferences for COVID-19 vaccines using the Choquet integral	3
Modeling the relationship between food purchasing, transport, and health outcomes: Evidence from Concepcion, Chile	3
Modelling online job search and choices of dentists in the Australian job market: Staged sequential DCEs and FIML econometric methods	3
Separation-based parameterization strategies for estimation of restricted covariance matrices in multivariate model systems	2
Ordering effects in discrete choice experiments: A systematic literature review across domains	2
Real payment priming to reduce potential hypothetical bias	2
Loss aversion, reference dependence and diminishing sensitivity in choice experiments	2
Estimating decision rule differences between ‘best’ and ‘worst’ choices in a sequential best worst discrete choice experiment	2
Choice data generation using usage scenarios and discounted cash flow analysis	2

Distribution-free estimation of individual parameter logit (IPL) models using combined evolutionary and optimization algorithms	2
What sort of Brexit do the British people want? A longitudinal study examining the ‘trade-offs’ people would be willing to make in reaching a Brexit deal	2
Attitudes and Latent Class Choice Models using Machine Learning	2
Optimal sequential strategy to improve the precision of the estimators in a discrete choice experiment: A simulation study	2
Intra-household bargaining for a joint vacation	2
Estimating installed-base effects in product adoption: Borrowing IVs from the dynamic panel data literature	2
Travel behaviour and game theory: A review of route choice modeling behaviour	2
The value of consideration data in a discrete choice experiment	2
Menu-choice modeling with interactions and heterogeneous correlated preferences	2
Modeling preference heterogeneity using model-based decision trees	2
Testing for saliency-led choice behavior in discrete choice modeling: An application in the context of preferences towards nuclear energy in Italy	2
Theory-driven or data-driven? Modelling ride-sourcing mode choices using integrated choice and latent variable model and multi-task learning deep neural networks	2
Consumer preferences for country of origin labeling: Bridging the gap between research estimates and real-world behavior	2
Cost vector effects in discrete choice experiments with positive status quo cost	2
“Whose plan is it?” understanding how the goal pursuit of consumers and carers influence choices in the australian disability sector	2