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Understanding Joint Daily Activity Pattern Choices across Household Members Using a Latent Class Model Framework

机译:使用潜在类模型框架了解家庭成员之间的联合日常活动模式选择

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In recent years, there has been an emphasis to better understand how intra-householdrelationships impact activity participation decisions. In most operational activity-based model(ABM) systems developed in the U.S., a day activity pattern model is used to describe anindividual’s overall activity engagement for a day. Typically, intra-household interactions arecontrolled for explicitly in such models. This paper uses a latent class model framework of dayactivity pattern to capture these intra-household relationships. This is achieved by defining thelatent class structure at the household level. While independence is assumed across individualactivity pattern choices conditional upon household class membership, the household classstructure, nonetheless, results in interdependencies emerging across household members. Themodel uses data from the Houston-Galveston region and is compared to the day activity patternmodel estimated for that region’s ABM. Results suggest the latent class specification is wellsuitedto this choice context, both in terms fitting the observed data, and in terms of matchingobserved joint distributions of day activity pattern choice across members of the same household.Moreover, the model specification is easy to interpret and implement, and can easilyaccommodate households of any size.
机译:近年来,人们一直在强调更好地了解家庭内部 关系影响活动参与决策。在大多数基于运营活动的模型中 (ABM)系统在美国开发,一天活动模式模型用于描述 个人一天的整体活动参与度。通常,家庭内部互动是 在此类模型中明确控制。本文使用天的潜在类模型框架 活动模式以捕获这些家庭内部关系。这是通过定义 家庭一级的潜在阶级结构。虽然跨个人假设独立 以家庭成员身份为条件的活动模式选择 然而,这种结构导致家庭成员之间出现了相互依存关系。这 该模型使用了休斯顿-加尔维斯顿地区的数据,并与日间活动模式进行了比较 该地区的ABM估算模型。结果表明潜在类规范非常适合 在这种选择的背景下,无论是在拟合观测数据方面,还是在匹配方面 观察同一家庭成员之间日活动模式选择的联合分布。 此外,模型规范易于解释和实现,并且易于 容纳任何规模的家庭。

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