TECHNICAL PAPERS
Oct 7, 2010

Longitudinal Model of Longer-Term Mobility Decisions: Framework and First Empirical Tests

Publication: Journal of Urban Planning and Development
Volume 137, Issue 3

Abstract

Recent advances in integrated land use and transport modeling have included a shift from aggregate-level modeling to disaggregate, household-level modeling. One potential advantage of this shift is that interdependencies of changes that influence household decisions can be more systematically modeled. However, existing models have not embraced this opportunity fully. Especially in the context of long-term mobility decisions (relocation/car ownership), decisions made on the basis of various dimensions are modeled as independent and cross sectional, whereas in reality they are strongly interlinked. To address these shortcomings, this paper proposes a conceptual framework that offers a more general approach to modeling the dynamics and interdependences across different time horizons of a household’s lifecycle and mobility decisions. The framework incorporates the concept of stress, defined as a discrepancy between a household’s present situation and its aspiration level, which in turn depends, among other things, on the household’s social network. Bayesian belief networks are used to represent the complex direct and indirect dependencies between life-cycle events and long- and short-term mobility decisions.

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Published In

Go to Journal of Urban Planning and Development
Journal of Urban Planning and Development
Volume 137Issue 3September 2011
Pages: 220 - 229

History

Received: Sep 23, 2009
Accepted: Oct 5, 2010
Published online: Oct 7, 2010
Published in print: Sep 1, 2011

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Authors

Affiliations

Abu Toasin Md Oakil [email protected]
Ph.D. Researcher, Urban and Regional Research Centre Utrecht, Faculty of Geosciences, Utrecht Univ., PO Box 80115, 3508 TC Utrecht, Netherlands (corresponding author). E-mail: [email protected]
Dick Ettema [email protected]
Associate Professor, Urban and Regional Research Centre Utrecht, Faculty of Geosciences, Utrecht Univ., PO Box 80115, 3508 TC Utrecht, Netherlands. E-mail: [email protected]
Theo Arentze [email protected]
Associate Professor, Urban Planning Group, Faculty of Architecture, Building and Planning, Eindhoven Univ. of Technology, PO Box 513, 5600 MB Eindhoven, Netherlands. E-mail: [email protected]
Harry Timmermans [email protected]
Professor, Urban Planning Group, Faculty of Architecture, Building and Planning, Eindhoven Univ. of Technology, PO Box 513, 5600 MB Eindhoven, Netherlands. E-mail: [email protected]

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