Abstract
Size and composition of social networks have recently been identified in the transportation literature
as important triggers of travel demand in general and travel generation in particular. With the field of
activity-based modeling of travel demand moving from static to dynamic models, this implies that
changes in social networks should be analyzed and linked to such dynamic activity-based models.
Changes in social networks in turn are understood to be related by life trajectory decisions. Using a
Dutch Kinship Panel dataset, the aim of this paper is to contribute to this emerging topic. Bayesian
belief networks are used to analyze the direct and indirect relationships of one life trajectory decision
(residential move) on changes in kinship networks. This is a necessary building block in developing
comprehensive dynamic activity-based models of travel demand. Results support the feasibility of the
suggested approach.
| Original language | English |
|---|---|
| Title of host publication | Transportdynamics: Proceedings of 16th International Conference of Hong Kong Society for Transportation Studies (HKSTS) |
| Editors | N.N. Sze, W.Y. Szeto, S.C. Wong |
| Place of Publication | Hong Kong |
| Publisher | Hong Kong Society for Transportation Studies |
| ISBN (Print) | 9789889884796 |
| Publication status | Published - 2011 |