Skip to main content

1997 | OriginalPaper | Buchkapitel

A Random-Effects Multinomial Probit Model of Car Ownership Choice

verfasst von : Agostino Nobile, Chandra R. Bhat, Eric I. Pas

Erschienen in: Case Studies in Bayesian Statistics

Verlag: Springer New York

Aktivieren Sie unsere intelligente Suche um passende Fachinhalte oder Patente zu finden.

search-config
loading …

The number of cars in a household has an important effect on its travel behavior (e.g., choice of number of trips, mode to work and non-work destinations), hence car ownership modeling is an essential component of any travel demand forecasting effort. In this paper we report on a random effects multinomial probit model of car ownership level, estimated using longitudinal data collected in the Netherlands.A Bayesian approach is taken and the model is estimated by means of a modification of the Gibbs sampling with data augmentation algorithm considered by McCulloch and Rossi (1994). The modification consists in performing, after each Gibbs sampling cycle, a Metropolis step along a direction of constant likelihood. An examination of the simulation output illustrates the improved performance of the resulting sampler.

Metadaten
Titel
A Random-Effects Multinomial Probit Model of Car Ownership Choice
verfasst von
Agostino Nobile
Chandra R. Bhat
Eric I. Pas
Copyright-Jahr
1997
Verlag
Springer New York
DOI
https://doi.org/10.1007/978-1-4612-2290-3_13