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This paper introduces a vehicle transaction timing model which is conditional on household residential and job relocation
timings. Further, the household residential location and members’ job relocation timing decisions are jointly estimated. Some
researchers have modeled the household vehicle ownership decision jointly with other household decisions like vehicle type
choice or VMT; however, these models were basically static and changes in household taste over time has been ignored in nearly
all of these models. The proposed model is a dynamic joint model in which the effects of land-use, economy and disaggregate
travel activity attributes on the major household decisions; residential location and members’ job relocation timing decisions
for wife and husband of the household, are estimated. Each of these models is estimated using both the Weibull and log-logistic
baseline hazard functions to assess the usefulness of a non-monotonic rather than monotonic baseline hazard function. The
last three waves of the Puget Sound Panel Survey data and land-use, transportation, and built environment variables from the
Seattle Metropolitan Area are used in this study as these waves include useful explanatory variables like household tenure
that were not included in the previous waves. 相似文献