Taste heterogeneity as an alternative form of endogeneity bias: Investigating the attitude-moderated effects of built environment and socio-demographics on vehicle ownership using latent class modeling
- Authors
- Kim Sung Hoo; Mokhtarian Patricia L.
- Issue Date
- Oct-2018
- Publisher
- Pergamon Press Ltd.
- Keywords
- Endogeneity bias; Latent class model; Self-selection; Success table; Taste heterogeneity; Vehicle ownership
- Citation
- Transportation Research Part A: Policy and Practice, v.116, pp 130 - 150
- Pages
- 21
- Indexed
- SCI
SCIE
SSCI
SCOPUS
- Journal Title
- Transportation Research Part A: Policy and Practice
- Volume
- 116
- Start Page
- 130
- End Page
- 150
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/111099
- DOI
- 10.1016/j.tra.2018.05.020
- ISSN
- 0965-8564
- Abstract
- Vehicle ownership (VO) is of vital interest to transportation planning and policy, both in its own right and as a correlate of other travel-related behaviors. This study explores disaggregate relationships among socio-economic/demographic (SED) traits, the built environment (BE), and VO. Many previous studies have assumed that the importance of SED and BE variables to VO is homogeneous across the population, and have focused on the direct and mediated effects of those variables on VO. Here, we aim to account for heterogeneity in the effects of BE and SED, allowing those effects on VO to be moderated as a function of attitudes. Specifically, we use Latent Class Modeling (LCM), which probabilistically segments the sample so as to be homogeneous within and heterogeneous across segments, with respect to the choice process. Applied to a sample of 2385 commuters in Northern California, LCM outperforms an ordinary multinomial logit model and a deterministic segmentation model. The LCM identifies two classes: an "auto-oriented" segment, for which household size and income have stronger influences on vehicle ownership (compared to the other segment); and an "urbanite" segment, for which the BE generally has a stronger influence. This study contributes to better understanding the heterogeneity of an important travel-related choice process, and offers an alternative explanation to residential self-selection for an attitude-related endogeneity bias.
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Collections - COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF TRANSPORTATION AND LOGISTICS ENGINEERING > 1. Journal Articles

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