Results 11 to 20 of about 8,539 (159)

Multinomial Logit Utility Model for Tanta City Transportation System considering Ridesharing Mode [PDF]

open access: yesJournal of Engineering Research - Egypt, 2021
Recently, ridesharing has been noticed as an effective and sustainable mode of transport. In which, each passenger carries out a journey that benefits travelers and society greatly, such as reducing travel costs, reducing journey times, relieving road ...
Ahmed Elkafoury   +3 more
doaj   +1 more source

Exploring Influencing Factors of Intercity Mode Choice from View of Entire Travel Chain

open access: yesJournal of Advanced Transportation, 2021
Exploring the influencing factors of intercity travel mode choice can reveal passengers’ travel decision mechanisms and help traffic departments to develop an effective demand management policy.
Xiaowei Li   +4 more
doaj   +1 more source

Multinomial logit models with implicit variable selection [PDF]

open access: yesAdvances in Data Analysis and Classification, 2013
Multinomial logit models which are most commonly used for the modeling of unordered multi-category responses are typically restricted to the use of few predictors. In the high-dimensional case maximum likelihood estimates frequently do not exist. In this paper we are developing a boosting technique called multinomBoost that performs variable selection ...
Faisal Maqbool Zahid, Gerhard Tutz 0001
openaire   +2 more sources

Testing the Multinomial Logit Model [PDF]

open access: yes, 2000
A general test to check the adequateness of a regression model against nonparametric alternatives is presented. This test procedure is then applied to the well known multinomial logit model and its power is considered in a simulation study. Finally, the multinomial logit model is tested for a real scanner panel data set.
Bartels, K.   +4 more
openaire   +6 more sources

Variable selection in general multinomial logit models [PDF]

open access: yesComputational Statistics & Data Analysis, 2015
The use of the multinomial logit model is typically restricted to applications with few predictors, because in high-dimensional settings maximum likelihood estimates tend to deteriorate. In this paper we are proposing a sparsity-inducing penalty that accounts for the special structure of multinomial models. In contrast to existing methods, it penalizes
Gerhard Tutz 0001   +2 more
openaire   +2 more sources

Estimating the Potential Modal Split of Any Future Mode Using Revealed Preference Data

open access: yesJournal of Advanced Transportation, 2022
Mode choice behaviour is often modelled by discrete choice models, in which the utility of each mode is characterized by mode-specific parameters reflecting how strongly the utility of that mode depends on attributes such as travel speed and cost, and a ...
Gijsbert Koen de Clercq   +3 more
doaj   +1 more source

Economics of agritourism development: An Iranian experience

open access: yesEconomic Journal of Emerging Markets, 2020
Agritourism is known as a means of identification and realization of various on-farm and off-farm attractions existing in rural areas. This study aims at exploring the main determinants of agritourism development in Iran.
Mohammad Hossein Askarpour   +2 more
doaj   +3 more sources

Application of Discrete Choice Models for Exploring Traveller’s Behaviour at Egyptian Transport Network [PDF]

open access: yesPort Said Engineering Research Journal, 2018
Mode choice models generally form a critical part of the analysis of the travel demand of any study area in any country and have played an important role in transport modelling over the last decades.
Ahmed Semeida
doaj   +1 more source

Comparative Study of Logit and Weibit Model in Travel Mode Choice

open access: yesIEEE Access, 2020
To quantify travel demand, it is necessary to understand the travelers' mode choice behavior. The Logit model is widely used in travel mode choice because of its closed form.
Dawei Li, Wentong Wu, Yuchen Song
doaj   +1 more source

Penalized multinomial mixture logit model [PDF]

open access: yesComputational Statistics, 2009
A classification problem is considered where the observed classes are mixtures of some subclasses. The multinomial logit model is used to model the dependence between subclasses labels and predictors. A version of the EM algorithm is proposed for fitting the resulting mixture model.
Shaheena Bashir, Edward M. Carter
openaire   +2 more sources

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