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Modeling dynamics in household car ownership over life courses

A latent class competing risks model

Bibliographic Data

ID19338134
AuthorsGaofeng Gu (0000-0002-7872-9040, Eindhoven University of Technology), Tao Feng (0009-0009-7262-1432, Eindhoven University of Technology, corresponding author), Dujuan Yang (0000-0003-3124-6604, Eindhoven University of Technology), Harry Timmermans (0000-0002-8737-4632, Eindhoven University of Technology)
Year2021
Volume48
Issue2
Pages809-829
Publication date2021-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTransportation (JOURNAL)
Journal identifiersISSN: 0049-4488 • E-ISSN: 1572-9435
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11116-019-10078-8
OpenAlexW2999314111
LanguageEN
Citations received2
References cited47

This study presents a latent class competing risks model to examine the influence of socio-demographics and life course events on car transaction behaviour. The types of car transaction and interval times between car transactions events are incorporated in a competing risk model. To capture unobserved behavioural heterogeneity across the population, the model classifies households into different segments. Results estimated based on retrospective survey data show significant heterogeneity exist in household car ownership decisions. The covariates are found to have different effects on car ownership decisions between different classes. Households in the class labelled “Young households without a car” are more sensitive to life course events related to household composition. Households labelled as “middle-aged and aged households with car(s)” are more sensitive to life course events related to job and house locations

Business · Car ownership · Class (philosophy) · Covariate · Database · Database transaction · Demographic economics · Demographics · Econometrics · Economics · Latent class model · Life course approach · Population · Public transport · Sociology · Statistics · Survey data collection · Transaction data · Transport engineering · Computer Science · Demography · Engineering · Housing Market and Economics · Mathematics · Psychology · Urban Transport and Accessibility · Urban, Neighborhood, and Segregation Studies

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Unique citing works2
Citations per year0,4
Citation span2021 - 2024 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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