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Modeling Household Discrete Choice Behavior Incorporating Heterogeneous Group Decision-making Mechanisms

机译:结合异构群体决策机制的家庭离散选择行为建模

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摘要

To represent heterogeneous group decision-making mechanisms in choice behavior, this paper attempts to develop a new household discrete choice model by integrating different types of household choice models based on latent class modeling approach under the principle of random utility maximization, where household utility function at each model is defined to theoretically reflect its members' preferences and intra-household interaction. A latent class corresponds to a particular group decision-making mechanism. The proposed model can deal with not only the choice situations where multiple household members involved in joint decision are known a priori, but also the situations where the involved members are unknown. As a case study, three types of household utility functions are dealt with: multi-linear, maximum and minimum types, in the context of couples' car ownership behaviors. Due to the limited sample size, paired combinations of the three utilities are examined and compared. Using the data collected in two Japanese cities in 2004, the effectiveness of the proposed household decision model is empirically confirmed. It is found that changes of utility combinations result in very complicated variations in both signs and values of the model parameters and choice probabilities by multi-linear utility show small variations across different combinations.
机译:为了表示选择行为中的异质群体决策机制,本文尝试在随机效用最大化的原则下,基于潜在类建模方法,通过整合不同类型的家庭选择模型,开发一种新的家庭离散选择模型。每个模型的定义都是从理论上反映其成员的偏好和家庭内部的互动。潜在类别对应于特定的小组决策机制。所提出的模型不仅可以处理先验已知参与共同决策的多个家庭成员的选择情况,还可以处理涉及未知成员的情况。作为案例研究,在夫妻的汽车拥有行为的背景下,处理了三种类型的家庭效用函数:多线性,最大和最小类型。由于样本量有限,将检查和比较这三个实用程序的配对组合。使用2004年在日本两个城市收集的数据,经验证明了拟议的家庭决策模型的有效性。发现效用组合的变化导致模型参数的符号和值的变化非常复杂,并且多线性效用的选择概率在不同组合之间显示出很小的变化。

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