Journal ArticleDOI
Generalized random utility model
Joan L. Walker,Moshe Ben-Akiva +1 more
TLDR
A practical, generalized model that integrates many enhancements that have been made to RUM is presented that encompasses all models, describes each enhancement, and shows relationships between models including how they can be integrated.About:
This article is published in Mathematical Social Sciences.The article was published on 2002-07-01. It has received 503 citations till now. The article focuses on the topics: Latent variable & Covariance.read more
Citations
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Journal ArticleDOI
Hybrid choice models : Progress and challenges
Moshe Ben-Akiva,Daniel McFadden,Kenneth Train,Joan L. Walker,Chandra R. Bhat,Michel Bierlaire,Denis Bolduc,Axel Boersch-Supan,David Brownstone,David S. Bunch,Andrew Daly,André de Palma,Dinesh Gopinath,Anders Karlström,Marcela Munizaga +14 more
TL;DR: In this paper, the authors discuss the development of predictive choice models that go beyond the random utility model in its narrowest formulation and incorporate several elements of cognitive process that have been identified as important to the choice process.
Journal ArticleDOI
Latent lifestyle preferences and household location decisions
Joan L. Walker,Jieping Li +1 more
TL;DR: This work simultaneously estimates lifestyle groups and how lifestyle impacts location decisions, and indicates three latent lifestyle segments: suburban dwellers, urban Dwellers, and transit-riders.
Journal ArticleDOI
Driver-injury severity in single-vehicle crashes in California: A mixed logit analysis of heterogeneity due to age and gender.
TL;DR: Several other factors were found to significantly increase the probability of fatal injury for drivers in single-vehicle crashes, most notably: male driver, drunk driving, unsafe speed, older driver (65+) driving an older vehicle, and darkness without streetlights.
Journal ArticleDOI
A note on modeling pedestrian-injury severity in motor-vehicle crashes with the mixed logit model.
TL;DR: Using police-reported collision data from 1997 through 2000 from North Carolina, several factors were found to more than double the average probability of fatal injury for pedestrians in motor-vehicle crashes including darkness without streetlights, speeding involved, and collisions involving a motorist who had been drinking.
Journal ArticleDOI
Values, attitudes and travel behavior: a hierarchical latent variable mixed logit model of travel mode choice
TL;DR: In this paper, the authors examined the influence of values on travel mode choice behavior and provided insights to planners and policy-makers on how better to sell public transit as a means of travel.
References
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Book
Structural Equations with Latent Variables
TL;DR: The General Model, Part I: Latent Variable and Measurement Models Combined, Part II: Extensions, Part III: Extensions and Part IV: Confirmatory Factor Analysis as discussed by the authors.
Book ChapterDOI
A New Approach to Consumer Theory
TL;DR: In this article, the authors extend activity analysis into consumption theory and assume that goods possess, or give rise to, multiple characteristics in fixed proportions and that it is these characteristics, not goods themselves, on which the consumer's preferences are exercised.
Book
Discrete Choice Methods with Simulation
TL;DR: In this paper, the authors describe the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation, and compare simulation-assisted estimation procedures, including maximum simulated likelihood, method of simulated moments, and methods of simulated scores.
Book
Discrete Choice Analysis: Theory and Application to Travel Demand
Moshe Ben-Akiva,Steven R. Lerman +1 more
TL;DR: In this article, the authors present the methods of discrete choice analysis and their applications in the modeling of transportation systems and present a complete travel demand model system presented in chapter 11, which is intended as a graduate level text and a general professional reference.