A dynamic choice model to estimate the user cost of crowding with large-scale transit data
Efficient mass transit provision should be responsive to the behaviour of passengers.
Operators often conduct surveys to elicit passenger perspectives, but these can be …
Operators often conduct surveys to elicit passenger perspectives, but these can be …
[HTML][HTML] Detecting metro service disruptions via large-scale vehicle location data
Urban metro systems are often affected by disruptions such as infrastructure malfunctions,
rolling stock breakdowns and accidents. The crucial prerequisite of any disruption analytics …
rolling stock breakdowns and accidents. The crucial prerequisite of any disruption analytics …
[HTML][HTML] Attitudes and Latent Class Choice Models using Machine Learning
Abstract Latent Class Choice Models (LCCM) are extensions of discrete choice models
(DCMs) that capture unobserved heterogeneity in the choice process by segmenting the …
(DCMs) that capture unobserved heterogeneity in the choice process by segmenting the …
Logit mixed logit under asymmetry and multimodality of WTP: a Monte Carlo evaluation
R Scarpa, C Franceschinis… - American Journal of …, 2021 - Wiley Online Library
The logit‐mixed logit (LML) model advances choice modeling by generalizing previous
parametric and semi‐nonparametric specifications and allowing retrieval of flexible taste …
parametric and semi‐nonparametric specifications and allowing retrieval of flexible taste …
A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles
This paper i) compares parametric and semi-parametric representations of unobserved
heterogeneity in hierarchical Bayesian logit models and ii) applies these methods to infer …
heterogeneity in hierarchical Bayesian logit models and ii) applies these methods to infer …
Non-parametric estimation of mixed discrete choice models
In this paper, different strands of literature are combined in order to obtain algorithms for
semi-parametric estimation of discrete choice models that include the modelling of …
semi-parametric estimation of discrete choice models that include the modelling of …
A generalized continuous-multinomial response model with a t-distributed error kernel
In multinomial response models, idiosyncratic variations in the indirect utility are generally
modeled using Gumbel or normal distributions. This study makes a strong case to substitute …
modeled using Gumbel or normal distributions. This study makes a strong case to substitute …
A dynamic choice model with heterogeneous decision rules: Application in estimating the user cost of rail crowding
Crowding valuation of subway riders is an important input to various supply-side decisions
of transit operators. The crowding cost perceived by a transit rider is generally estimated by …
of transit operators. The crowding cost perceived by a transit rider is generally estimated by …
[HTML][HTML] Choice probabilities and correlations in closed-form route choice models: specifications and drawbacks
This paper investigates the performance–in terms of choice probabilities and correlations–of
existing and new specifications of closed-form route choice models with flexible correlation …
existing and new specifications of closed-form route choice models with flexible correlation …
[PDF][PDF] Transportation Engineering
This paper investigates the performance–in terms of choice probabilities and correlations–of
existing and new specifications of closed-form route choice models with flexible correlation …
existing and new specifications of closed-form route choice models with flexible correlation …