Since its inception, the choice modelling field has been dominated by theory-driven
modelling approaches. Machine learning offers an alternative data-driven approach for …

Maximum simulated likelihood is the preferred estimator of most researchers who deal with
discrete choice. It allows estimation of models such as mixed multinomial logit (MXL) …

This work studies how the usage of shared mobility services could be influenced by latent
factors. An integrated choice and latent variable model is adopted to explore the effects of …

In this article, heterogeneity of transit users in perceiving service quality is investigated.
Users' perceptions of transit services are heterogeneous for many reasons: the qualitative …

Despite the above famous statement, individuals have always disputed about individual
tastes, and the decision making processes behind consumers' choices has been a focal …

This study proposes a mixed logit model with multivariate nonparametric finite mixture
distributions. The support of the distribution is specified as a high-dimensional grid over the …

Since China's reform and opening-up, the growing disparity between urban and rural areas
and regions has led to massive migration. With China's Rural Revitalization Strategy and the …

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 …

We study the pricing problem for a third-party-logistics (3PL) provider that provides ware-
housing and transportation services. When customers arrive at the 3PL provider, they …

The logit-mixed logit (LML) model, which allows the analyst to semi-parametrically specify
the mixing distribution of preference heterogeneity, is a very recent advancement in logit …