01091773

Component

This paper attempts to conceptualize the residential mobility and spatial search process to be implemented within a microsimulation-based integrated modeling system and presents empirical results of econometric models of mobility applying both discrete choice and hazard-based duration modeling techniques using Greater Toronto Area (GTA) retrospective survey data. It tests and compares fixed effects, random intercept and random parameter discrete-time panel logit models and parametric frailty models that account for unobserved heterogeneity. While the random parameter model (RP) performs better in identifying residential stressors that lead to mobility, the log-logistic Gaussian shared frailty model shows promising results in explaining termination of passive-state duration. The study reveals that most stressors that relate to life cycle events such as job change, birth of a child, increase/decrease in number of jobs etc. are significant in the RP Model. On the other hand, dwelling and neighborhood characteristics are dominant in the continuous-time shared frailty model.

01084478

08-1298

English

20p

2008

Transportation Research Board 87th Annual Meeting

DVD

Figures (1) ; References (33) ; Tables (2)

Econometric models; Life cycle analysis; Microsimulation; Mobility; Neighborhoods; Residential areas; Transportation policy

Toronto (Canada); Toronto Metropolitan Area

Economics; Highways; Planning and Forecasting; Policy; Society; I10: Economics and Administration; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2008 Paper #08-1298

TRIS, TRB

Jan 29 2008 3:39PM