[HTML][HTML] The overreliance on statistical goodness-of-fit and under-reliance on model validation in discrete choice models: A review of validation practices in the …
An examination of model validation practices in the peer-reviewed transportation literature
published between 2014 and 2018 reveals that 92% of studies reported goodness-of-fit …
published between 2014 and 2018 reveals that 92% of studies reported goodness-of-fit …
[HTML][HTML] Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions
SH Kim, PL Mokhtarian - Transportation Research Part B: Methodological, 2023 - Elsevier
Accounting for some types of heterogeneity has been an important pathway to improving our
models in the transportation domain, specifically in travel behavior research. This study …
models in the transportation domain, specifically in travel behavior research. This study …
[HTML][HTML] Choice modelling in the age of machine learning-discussion paper
Since its inception, the choice modelling field has been dominated by theory-driven
modelling approaches. Machine learning offers an alternative data-driven approach for …
modelling approaches. Machine learning offers an alternative data-driven approach for …
xlogit: An open-source Python package for GPU-accelerated estimation of Mixed Logit models
Mixed Logit is an advanced and flexible tool for the study of discrete choice problems.
However, this flexibility involves computationally intensive calculations, as the estimation of …
However, this flexibility involves computationally intensive calculations, as the estimation of …
Latent class structures: taste heterogeneity and beyond
S Hess - Handbook of choice modelling, 2024 - elgaronline.com
The treatment of heterogeneity across individual decision makers is one of the key topics of
research in choice modelling, as evidenced by many of the chapters in this book. While, in …
research in choice modelling, as evidenced by many of the chapters in this book. While, in …
[HTML][HTML] Estimation of discrete choice models considering simultaneously multiple objectives and complex data characteristics
This paper focuses on the discrete choice estimation problem, which involves multiple
objectives and testing a broad range of hypotheses that can affect both interpretability and …
objectives and testing a broad range of hypotheses that can affect both interpretability and …
Extensive hypothesis testing for estimation of mixed-Logit models
Estimation of discrete outcome specifications involves significant hypothesis testing,
including multiple modelling decisions which could affect results and interpretation. Model …
including multiple modelling decisions which could affect results and interpretation. Model …
[HTML][HTML] An empirical investigation of the distribution of travellers' willingness-to-pay: A comparison between a parametric and nonparametric approach
Understanding the distribution of the willingness-to-pay (WTP) to reduce travel time or other
unpleasant travel attributes experienced by travellers is crucial to making well-informed …
unpleasant travel attributes experienced by travellers is crucial to making well-informed …
The impact of nature documentaries on public environmental preferences and willingness to pay: entropy balancing and the blue planet II effect
In this study, the discrete choice experiment approach was employed in a survey of the
Scottish general public to analyze how respondents make tradeoffs between blue growth …
Scottish general public to analyze how respondents make tradeoffs between blue growth …
Bayesian estimation of mixed multinomial logit models: Advances and simulation-based evaluations
Variational Bayes (VB) methods have emerged as a fast and computationally-efficient
alternative to Markov chain Monte Carlo (MCMC) methods for scalable Bayesian estimation …
alternative to Markov chain Monte Carlo (MCMC) methods for scalable Bayesian estimation …