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Hierarchical Bayesian Method in the Study of Individual Level Behavior- In the Context of Discrete Choice Modeling with Revealed and Stated Preference Data - Tapa blanda

Xiaojing Dong

 
9783836423533: Hierarchical Bayesian Method in the Study of Individual Level Behavior- In the Context of Discrete Choice Modeling with Revealed and Stated Preference Data
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ISBN 10: 3836423537 ISBN 13: 9783836423533
Editorial: KS OmniScriptum Publishing, 2007

Sinopsis

A major breakthrough in travel demand modeling in the early 1970’s wasmodeling based on disaggregate (individual) level data (McFadden 2001).Although the disaggregate model focuses on individual level behavior, theestimated model parameters are fixed across individuals. To incorporateunobserved taste variations across individuals, recent developments allow forthe parameters to vary across individuals, such as the Mixed Logit model,where the parameters are assumed to follow a distribution. The mixed logitmodel recognizes the differences among individuals, but it does notdistinguish individuals who respond differently to travel service changes. Thisstudy focuses on the application of the Hierarchical Bayesian method toobtain individual level inferences. We demonstrate the advantage of thismethod by obtaining a more reasonable distribution of value of travel timerelative to the distribution obtained from the mixed logit model. In addition,the HB method helps us to combine information from both revealed andstated preference data, where the revealed preference data is limited toproperties of only the chosen alternatives.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

A major breakthrough in travel demand modeling in the early 1970's was modeling based on disaggregate (individual) level data (McFadden 2001). Although the disaggregate model focuses on individual level behavior, the estimated model parameters are fixed across individuals. To incorporate unobserved taste variations across individuals, recent developments allow for the parameters to vary across individuals, such as the Mixed Logit model, where the parameters are assumed to follow a distribution. The mixed logit model recognizes the differences among individuals, but it does not distinguish individuals who respond differently to travel service changes. This study focuses on the application of the Hierarchical Bayesian method to obtain individual level inferences. We demonstrate the advantage of this method by obtaining a more reasonable distribution of value of travel time relative to the distribution obtained from the mixed logit model. In addition, the HB method helps us to combine information from both revealed and stated preference data, where the revealed preference data is limited to properties of only the chosen alternatives.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
KS OmniScriptum Publishing
Año de publicación
2007
Idioma
Inglés
ISBN 10 
3836423537
ISBN 13 
9783836423533
Encuadernación
Tapa blanda
Número de páginas
80
Contacto del fabricante
no disponible
Persona responsable
no disponible

Otras ediciones populares con el mismo título

9783639415056: Hierarchical Bayesian Method in the Study of Individual Level Behavior: In the Context of Discrete Choice Modeling with Revealed and Stated Preference Data

Edición Destacada

ISBN 10:  3639415051 ISBN 13:  9783639415056
Editorial: AV Akademikerverlag, 2012
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