Travel pattern transitions

Applying latent transition analysis within the mobility biographies framework

Journal Article (2018)
Author(s)

Mathijs de Haas (KiM: Kennisinstituut voor Mobiliteitsbeleid )

C. E. Scheepers (KiM: Kennisinstituut voor Mobiliteitsbeleid )

L. W.J. Harms (KiM: Kennisinstituut voor Mobiliteitsbeleid )

M Kroesen (TU Delft - Transport and Logistics)

Transport and Planning
DOI related publication
https://doi.org/10.1016/j.tra.2017.11.007
More Info
expand_more
Publication Year
2018
Language
English
Transport and Planning
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Volume number
107
Pages (from-to)
140-151
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

This paper applies the relatively new method of latent transition analysis within the mobility biographies framework to assess how life events influence changes in travel behaviour. Using transition analysis, it is assessed how people switch between different travel patterns over time. Data from the first three waves of the Netherlands Mobility Panel (MPN) are used to reveal different travel patterns and analyse transitions between these patterns over time. Six different meaningful travel patterns are revealed. Four exogenous variables and six life events within the household, employment and residential biography are included to assess their effects on people's transitions between the travel patterns over time. For all life events significant effects are found, indicating that there might indeed be ‘windows of opportunity’ to change travel behaviour when a life event occurs. The results show that, on average, people who only use a single mode are less likely to change their travel pattern compared to multimodal travellers. In addition, the effects of life events and exogenous variables depend on the initial travel pattern. In general, single-mode travellers are less affected by life events than multimodal travellers. This indicates that it is important to include past travel behaviour within mobility biographies studies.

Files

1-s2.0-S0965856417302380-main-... (pdf)
(pdf | 0.438 Mb)
- Embargo expired in 05-06-2018
License info not available