… In this regard, this study applies a two-stage model to a) identify latent classes of the … and
incorporating a distinct set of attitudes for each class. This approach is expected to provide a …

… We demonstrated a variational inference algorithm for Bayesian latent class … latent
class model identified six classes of collision patterns. Classes associated with turning, multi-vehicle …

… We use a discrete distribution to capture taste heterogeneity of distinct latent classes. Latent
variables, socio-demographics and travel … User preferences regarding autonomous vehicles …

… This outcome is likely due to the methodological approach adopted in the present study
that involved the generation of latent classes that are based on variables associated with AV-…

… We utilize latent class analysis to segregate the sample based … As per latent class analysis,
a discrete latent variable can … and conditional on latent class variables (Kemperman and …

… technologies is the autonomous vehicle (AV, aka. self-driving/automated car/vehicle, etc.). …
The second type of latent variable model we use is latent class cluster analysis (LCCA). The …

… follow a continuous distribution, was captured by a number of latent classes (ie, two classes
in this study). Each class was associated with a set of parameter estimates corresponding to …

… As compared to Multi vehicle crashes, limited research … bicyclists in crashes with motor
vehicles is important to develop … an explanation of the latent class clustering and binary logit …

… By pooled on-demand modes, we refer to the new generation of taxi-like services (usually
booked via an app) that match different travel requests in the same vehicle (usually) in real-…

… variable, which has K categories that are typically called classes or clusters. Each individual
i is assumed to have a certain probability of belonging to a certain latent class. This class …