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.
|Number of pages||21|
|Publication status||Published - 9 Jan 2020|
Bibliographical noteFunding Information:
This study was supported by research project DESENT ( Smart Decision Support System for Urban Energy and Transportation , 2016–2019), funded by JPI Urban Europe (Grant No. 5637396), under the scheme of ERA-NET Cofund Smart Cities and Communities joint research program (ENSCC). The ENSCC call was the product of a joint effort with the Smart Cities Member States Initiative. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
© 2020, The Author(s).
Copyright 2020 Elsevier B.V., All rights reserved.
- Car ownership
- Latent class competing risks model
- Life events