A nested recursive logit model for route choice analysis
We propose a route choice model that relaxes the independence from irrelevant alternatives
property of the logit model by allowing scale parameters to be link specific. Similar to the …
property of the logit model by allowing scale parameters to be link specific. Similar to the …
Undiscounted recursive path choice models: Convergence properties and algorithms
Traffic flow predictions are central to a wealth of problems in transportation. Path choice
models can be used for this purpose, and in state-of-the-art models—so-called recursive …
models can be used for this purpose, and in state-of-the-art models—so-called recursive …
[HTML][HTML] A decomposition method for estimating recursive logit based route choice models
Abstract Fosgerau et al.(2013) recently proposed the recursive logit (RL) model for route
choice problems, that can be consistently estimated and easily used for prediction without …
choice problems, that can be consistently estimated and easily used for prediction without …
Capturing correlation with a mixed recursive logit model for activity-travel scheduling
Representing activity-travel scheduling decisions as path choices in a time–space network
is an emerging approach in the literature. In this paper, we model choices of activity …
is an emerging approach in the literature. In this paper, we model choices of activity …
A method of integrating correlation structures for a generalized recursive route choice model
T Mai - Transportation Research Part B: Methodological, 2016 - Elsevier
We propose a way to estimate a generalized recursive route choice model. The model
generalizes other existing recursive models in the literature, ie,(Fosgerau et al., 2013b; Mai …
generalizes other existing recursive models in the literature, ie,(Fosgerau et al., 2013b; Mai …
Timetable-based simulation method for choice set generation in large-scale public transport networks
The composition and size of the choice sets are a key for the correct estimation of and
prediction by route choice models. While existing literature has posed a great deal of …
prediction by route choice models. While existing literature has posed a great deal of …
On the similarities between random regret minimization and mother logit: The case of recursive route choice models
This paper focuses on the comparison of the random regret minimization (RRM) and mother
logit models for analyzing the choice between alternatives having deterministic attributes …
logit models for analyzing the choice between alternatives having deterministic attributes …
Network-based representations and dynamic discrete choice models for multiple discrete choice analysis
In many choice modeling applications, consumer demand is frequently characterized as
multiple discrete, which means that consumer choose multiple items simultaneously. The …
multiple discrete, which means that consumer choose multiple items simultaneously. The …
Information matrix tests for multinomial logit models
We obtain simple and intuitive expressions for the information matrix test for the multinomial
logit model that resemble a multivariate heteroskedasticity test à la White (1980) applied to …
logit model that resemble a multivariate heteroskedasticity test à la White (1980) applied to …
[BOOK][B] On Optmization Algorithms for Maximum Likelihood Estimation
Maximum likelihood estimation (MLE) is one of the most popular technique in econometric
and other statistical applications due to its strong theoretical appeal, but can lead to …
and other statistical applications due to its strong theoretical appeal, but can lead to …