Temporal interdependencies in mobility decisions over life course: a family-based analysis using dynamic Bayesian networks

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Household members physically share various resources, such as their house, cars, etc. Consequently, models of mobility decisions ideally are models of family decision-making. To contribute to the further development of the relatively thin line of research on household decision-making in travel behavior analysis, a dynamic Bayesian network approach is suggested to investigate temporal interdependencies between various life course events within families. Results indicate that effects of child birth on residential mobility and car ownership change are much stronger than the effects on work mobility for both spouses in dual-worker households. Moreover, the probability of residential mobility and car ownership change strongly increases when both spouses have relatively long commuting times. However, in case only the husband faces excessive commuting time, households have a larger probability of moving to a new house or purchasing an additional car. In contrast, in case only the wife experiences an excessive commuting time, the wife is more likely to change job rather than the household choosing other actions to cope with the situation.
Original languageEnglish
Title of host publicationProceedings 98rd Annual Meeting of the Transportation Research Board, Washington DC, USA
Publication statusPublished - 2019
Event98th Annual Meeting of the Transportation Research Board - Walter E. Washington Convention Center, Washington, D.C., United States
Duration: 13 Jan 201917 Jan 2019
https://www.eltis.org/participate/events/transportation-research-board-98th-annual-meeting

Conference

Conference98th Annual Meeting of the Transportation Research Board
CountryUnited States
CityWashington, D.C.
Period13/01/1917/01/19
Internet address

Fingerprint

Life course
Household
Interdependencies
Car
Bayesian networks
Dynamic analysis
Commuting
Ownership change
Residential mobility
Spouses
Job change
Behavior analysis
Childbirth
Travel behavior
Family decision making
Resources
Purchasing
Workers
Household decision making

Cite this

Guo, J., Feng, T., Zhang, J., & Timmermans, H. J. P. (2019). Temporal interdependencies in mobility decisions over life course: a family-based analysis using dynamic Bayesian networks. In Proceedings 98rd Annual Meeting of the Transportation Research Board, Washington DC, USA [19-04617]
Guo, J. ; Feng, T. ; Zhang, Junyi ; Timmermans, H.J.P. / Temporal interdependencies in mobility decisions over life course : a family-based analysis using dynamic Bayesian networks. Proceedings 98rd Annual Meeting of the Transportation Research Board, Washington DC, USA. 2019.
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abstract = "Household members physically share various resources, such as their house, cars, etc. Consequently, models of mobility decisions ideally are models of family decision-making. To contribute to the further development of the relatively thin line of research on household decision-making in travel behavior analysis, a dynamic Bayesian network approach is suggested to investigate temporal interdependencies between various life course events within families. Results indicate that effects of child birth on residential mobility and car ownership change are much stronger than the effects on work mobility for both spouses in dual-worker households. Moreover, the probability of residential mobility and car ownership change strongly increases when both spouses have relatively long commuting times. However, in case only the husband faces excessive commuting time, households have a larger probability of moving to a new house or purchasing an additional car. In contrast, in case only the wife experiences an excessive commuting time, the wife is more likely to change job rather than the household choosing other actions to cope with the situation.",
author = "J. Guo and T. Feng and Junyi Zhang and H.J.P. Timmermans",
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Guo, J, Feng, T, Zhang, J & Timmermans, HJP 2019, Temporal interdependencies in mobility decisions over life course: a family-based analysis using dynamic Bayesian networks. in Proceedings 98rd Annual Meeting of the Transportation Research Board, Washington DC, USA., 19-04617, 98th Annual Meeting of the Transportation Research Board, Washington, D.C., United States, 13/01/19.

Temporal interdependencies in mobility decisions over life course : a family-based analysis using dynamic Bayesian networks. / Guo, J.; Feng, T.; Zhang, Junyi; Timmermans, H.J.P.

Proceedings 98rd Annual Meeting of the Transportation Research Board, Washington DC, USA. 2019. 19-04617.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - Temporal interdependencies in mobility decisions over life course

T2 - a family-based analysis using dynamic Bayesian networks

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AU - Feng, T.

AU - Zhang, Junyi

AU - Timmermans, H.J.P.

PY - 2019

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N2 - Household members physically share various resources, such as their house, cars, etc. Consequently, models of mobility decisions ideally are models of family decision-making. To contribute to the further development of the relatively thin line of research on household decision-making in travel behavior analysis, a dynamic Bayesian network approach is suggested to investigate temporal interdependencies between various life course events within families. Results indicate that effects of child birth on residential mobility and car ownership change are much stronger than the effects on work mobility for both spouses in dual-worker households. Moreover, the probability of residential mobility and car ownership change strongly increases when both spouses have relatively long commuting times. However, in case only the husband faces excessive commuting time, households have a larger probability of moving to a new house or purchasing an additional car. In contrast, in case only the wife experiences an excessive commuting time, the wife is more likely to change job rather than the household choosing other actions to cope with the situation.

AB - Household members physically share various resources, such as their house, cars, etc. Consequently, models of mobility decisions ideally are models of family decision-making. To contribute to the further development of the relatively thin line of research on household decision-making in travel behavior analysis, a dynamic Bayesian network approach is suggested to investigate temporal interdependencies between various life course events within families. Results indicate that effects of child birth on residential mobility and car ownership change are much stronger than the effects on work mobility for both spouses in dual-worker households. Moreover, the probability of residential mobility and car ownership change strongly increases when both spouses have relatively long commuting times. However, in case only the husband faces excessive commuting time, households have a larger probability of moving to a new house or purchasing an additional car. In contrast, in case only the wife experiences an excessive commuting time, the wife is more likely to change job rather than the household choosing other actions to cope with the situation.

M3 - Conference contribution

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ER -

Guo J, Feng T, Zhang J, Timmermans HJP. Temporal interdependencies in mobility decisions over life course: a family-based analysis using dynamic Bayesian networks. In Proceedings 98rd Annual Meeting of the Transportation Research Board, Washington DC, USA. 2019. 19-04617