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 …
Since its inception, the choice modelling field has been dominated by theory-driven modelling approaches. Machine learning offers an alternative data-driven approach for …
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 …
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 …
SH Kim - Analytic methods in accident research, 2023 - Elsevier
This study explores how heterogeneity has been examined in transportation safety analyses, specifically focusing on latent class modeling, which has gained popularity and …
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 …
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 …
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 …
Since its inception, the choice modelling field has been dominated by theory-driven models. The recent emergence and growing popularity of machine learning models offer an …