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Logit-normal mixed model for Indian monsoon precipitation [PDF]
Describing the nature and variability of Indian monsoon precipitation is a topic of much debate in the current literature. We suggest the use of a generalized linear mixed model (GLMM), specifically, the logit-normal mixed model, to describe the ...
L. R. Dietz, S. Chatterjee
doaj +4 more sources
Axiomatizations of the Mixed Logit Model [PDF]
A mixed logit function, also known as a random-coefficients logit function, is an integral of logit functions. The mixed logit model is one of the most widely used models in the analysis of discrete choice.
Saito, Kota
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Estimating nonparametric mixed logit models via EM algorithm [PDF]
The aim of this paper is to describe a Stata routine for the nonparametric estimation of mixed logit models using a Expectation-Maximisation algorithm. We also compare the performance of our estimator with respect to more typical parametric mixed logit ...
Daniele Pacifico
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Integrated Mixed Logit and Latent Variable Models [PDF]
A traditional discrete choice model assumes that an individual's decision-making process is based on utility maximization and that the systematic part of the utility function depends on some observable attributes and covariates. These attributes and covariates however can only explain part of the utility and a large part remains unexplained.
Vishva Manohara Danthurebandara +2 more
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Modeling enterprise location choice decision behavior
This study presents a location choice model that incorporates urban spatial effects for enterprises. A modeling framework is developed to analyze decisions regarding location choice for enterprises using a series of discrete choice models including ...
Nguyen Cao Y
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Mixed logit models and network formation
AbstractThe study of network formation is pervasive in economics, sociology, and many other fields. In this article, we model network formation as a ‘choice’ that is made by nodes of a network to connect to other nodes. We study these ‘choices’ using discrete-choice models, in which agents choose between two or more discrete alternatives. We employ the
Gupta, Harsh, Porter, Mason A.
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Exploring Influencing Factors of Intercity Mode Choice from View of Entire Travel Chain
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
A Federated Mixed Logit Model for Personal Mobility Service in Autonomous Transportation Systems
Looking ahead to the future-stage autonomous transportation system (ATS), personal mobility service (PMS) aims to provide the recommended travel options based on both microscopic individual travel demand and the macroscopic supply system objectives. Such
Linlin You +3 more
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Inclusion of latent variables in Mixed Logit models: Modelling and forecasting
Travel demand models typically use mainly objective modal attributes as explanatory variables. Nevertheless, it has been well known for many years that attitudes and perceptions also influence users' behaviour. The use of hybrid discrete choice models constitutes a good alternative to incorporate the effect of subjective factors.
María Francisca Yáñez +2 more
openalex +5 more sources
Duration-based or time-based congestion toll pricing?
Pricing and traffic rationing have become popular and economically viable ways to reduce traffic congestion in major cities' central business districts (CBDs).
Amir Reza Mamdoohi +4 more
doaj +1 more source

