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Modeling interdependencies between vehicle transaction, residential relocation and job change

机译：建模车辆交易，住宅搬迁和工作变动之间的相互依存关系

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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.
机译：本文介绍了一种以家庭居住和工作安置时间为条件的车辆交易时间模型。此外，家庭住所位置和成员的工作搬迁时间决定是联合估计的。一些研究人员将家用车辆拥有权决策与其他家用决策（例如，车辆类型选择或VMT）结合起来建模。但是，这些模型基本上是静态的，并且几乎所有这些模型都忽略了家庭随时间的变化。提议的模型是一个动态的联合模型，其中土地利用，经济和分类旅行活动属性对主要家庭决策的影响；估计住所位置和成员的家庭妻子和丈夫的工作搬迁时间决定。使用Weibull和对数逻辑基线危害函数来估计每个模型，以评估非单调而非单调基线危害函数的有效性。本研究中使用了Puget声音面板调查数据的最后三波以及西雅图都会区的土地使用，交通运输和建筑环境变量，因为这些波包含有用的解释变量，如前一波未包括的家庭使用权。

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