Incorporating random constraints in discrete models of choice set generation
Incorporating random constraints in discrete models of choice set generation
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DOI：
10.1016/0191-2615(87)90009-9
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发表时间：
1987-04
影响因子：
6.8
通讯作者：
J. Swait;M. Ben-Akiva
中科院分区：
文献类型：
--
作者：
J. Swait;M. Ben-Akiva
本文提出了一种行为解释的选择集生成过程中，是有用的结构和指定离散模型，将这一阶段的选择。关键的概念是随机约束的概念，这是可操作的概率选择集形成模型的形式，因此，我们明确认识到我们的不完善的理解和可能缺乏有关的过程的数据。几个这样的模型，并讨论其行为的可扩展性和可估计性。一份相关的文件报告了用巴西圣保罗的工作模式选择数据校准一个这样的规格。
This paper proposes a behavioral interpretation of the choice set generation process that is useful for structuring and specifying discrete models that incorporate this stage of choice. The key concept is the notion of random constraints, which is operationalized in the form of probabilistic choice set formation models; we thus explicitly recognize our imperfect understanding and possible lack of data about the process. Several such models are presented and discussed with respect to their behavioral plausibility and estimability. A related paper reports on the calibration of one such specification with work mode choice data from São Paulo, Brazil.