Modeling dynamics in household car ownership over life courses: a latent class competing risks model

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Uittreksel

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.
Originele taal-2Engels
TijdschriftTransportation
DOI's
StatusGeaccepteerd/In druk - 2020

Vingerafdruk

car ownership
Railroad cars
transaction
automobile
event
modeling
household
Chemical analysis

Citeer dit

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title = "Modeling dynamics in household car ownership over life courses: a latent class competing risks model",
abstract = "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.",
keywords = "Car ownership, Heterogeneity, Latent class competing risks model, Life events",
author = "Gaofeng Gu and Tao Feng and Dujuan Yang and Harry Timmermans",
year = "2020",
doi = "10.1007/s11116-019-10078-8",
language = "English",
journal = "Transportation",
issn = "0049-4488",
publisher = "Springer",

}

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T1 - Modeling dynamics in household car ownership over life courses: a latent class competing risks model

AU - Gu, Gaofeng

AU - Feng, Tao

AU - Yang, Dujuan

AU - Timmermans, Harry

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Car ownership

KW - Heterogeneity

KW - Latent class competing risks model

KW - Life events

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DO - 10.1007/s11116-019-10078-8

M3 - Article

JO - Transportation

JF - Transportation

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