Given the dynamic nature of human behavioral decisions over time, a life course approach is adopted to understand the interdependencies among key events in different life domains including residence, occupation, and car ownership. Based on a combination of binomial logit and decision tree, intertwined relationships for all three domains have been confirmed with respect to a quasi-longitudinal dataset. The interactions among inter-domain changes are demonstrated to be complicated, with leading, lagged, and concurrent effects all observed. Residential relocation and car-purchasing behaviors are likely to be performed within the same period, reflecting a concurrent effect, while there is a temporal sequence between major changes in residence and occupation, as well as in occupation and car ownership. The intra-domain continuity investigation by examining the roles played by past experience and future expectation primarily reflects an inhibiting effect on current behavior, indicating people’s inclination for stability. Empirically, identification about these interdependencies enables a better understanding of people’s reactions to changes in personal and family life. The findings are expected to be valuable for policies aiming at integrated urban land-use planning and travel behavior change.

中文翻译：

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居住地、职业和汽车所有权变化之间的相互依存关系 - 生命全程方法


鉴于人类行为决策随时间推移的动态性质，采用生命全程方法来理解不同生活领域中关键事件之间的相互依赖关系，包括居住、职业和汽车所有权。基于二项式 logit 和决策树的组合，所有三个领域的交织关系都已就准纵向数据集得到证实。域间变化之间的相互作用被证明是复杂的，都观察到了领先、滞后和并发效应。住宅搬迁和购车行为可能在同一时期内进行，反映出同时效应，而居住和职业以及职业和汽车拥有量的重大变化之间存在时间顺序。通过检查过去经验和未来预期所起的作用来进行域内连续性调查，主要反映了对当前行为的抑制作用，表明人们的稳定性倾向。从实证上讲，识别这些相互依存关系有助于更好地理解人们对个人和家庭生活变化的反应。预计这些发现对于旨在综合城市土地利用规划和出行行为改变的政策具有价值。