TY - JOUR
T1 - Time-varying dependencies among mobility decisions and key life course events
T2 - an application of dynamic Bayesian decision networks
AU - Guo, Jia
AU - Feng, Tao
AU - Timmermans, Harry J.P.
PY - 2019/12/1
Y1 - 2019/12/1
N2 - People's long-term mobility decisions depend on their current situation, past history and/or future plans. Consequently, models of long-term mobility decisions should take lagged, concurrent and/or lead effects into account. Contributing to the literature on long-term mobility analysis, this study develops an integrated framework for modeling the temporally interdependent choices related to residential change, job change and car purchasing decisions. Using retrospective life trajectory data collected through a Web-based survey, a dynamic Bayesian network model is estimated. Results show that different life domains are highly interdependent. Concurrent, as well as lagged and lead effects are observed.
AB - People's long-term mobility decisions depend on their current situation, past history and/or future plans. Consequently, models of long-term mobility decisions should take lagged, concurrent and/or lead effects into account. Contributing to the literature on long-term mobility analysis, this study develops an integrated framework for modeling the temporally interdependent choices related to residential change, job change and car purchasing decisions. Using retrospective life trajectory data collected through a Web-based survey, a dynamic Bayesian network model is estimated. Results show that different life domains are highly interdependent. Concurrent, as well as lagged and lead effects are observed.
KW - Concurrent
KW - Dynamic Bayesian network
KW - Lagged and lead effects
KW - Life events
UR - http://www.scopus.com/inward/record.url?scp=85072574167&partnerID=8YFLogxK
U2 - 10.1016/j.tra.2019.09.008
DO - 10.1016/j.tra.2019.09.008
M3 - Article
AN - SCOPUS:85072574167
VL - 130
SP - 82
EP - 92
JO - Transportation Research. Part A: Policy and Practice
JF - Transportation Research. Part A: Policy and Practice
SN - 0965-8564
ER -