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Inferring attribute non-attendance from stated choice data: implications for willingness to pay estimates and a warning for stated choice experiment design

机译:从陈述的选择数据中推断出属性的缺勤情况:支付意愿的含义和陈述选择实验设计的警告

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There is a growing interest in traveller behaviour research to explore alternative information processing strategies (often referred to as heuristics or rules) adopted by individuals when assessing packages of attributes describing alternatives in a choice set, and making a choice. One popular attribute processing rule relates to attributes not being considered (i.e., being ignored), for all manner of reasons, referred to in the small but growing literature as attribute non-attendance or non-preservation. Researchers have used a mixture of methods to study the role of attribute non-attendance, including supplementary questions on whether each attribute is ignored or not, and methods in which the functional form of the utility expressions defining an alternative can recognise the possibility, up to a probability, of an attribute being ignored. Although supplementary questions are worthy of further consideration, despite the controversy as to the reliability of the response, recent interest has focused on ways to establish the incidence of attribute non-attendance without recourse to such evidence. In this paper we use an existing data set of choice amongst four attributes describing alternative car non-commuting trips, to illustrate the proposed method, and to compare values of travel time savings under each possible combination of non-attendance attributes relative to a model in which all attributes are assumed to be fully attended to. The paper reveals a major concern with the way that attribute levels and ranges are selected in the design of choice experiments, which can induce non-attendance situations where willingness to pay estimates cannot be obtained.
机译:对旅行者行为研究的兴趣日益浓厚,以探索个人在评估描述选择集内替代方案的属性包并做出选择时采用的替代信息处理策略(通常称为启发法或规则)。一种流行的属性处理规则涉及出于各种原因而未被考虑(即被忽略)的属性,在小型但不断增长的文献中将其称为属性缺勤或不保存。研究人员已经使用多种方法来研究属性不参与的作用,包括关于是否忽略每个属性的补充问题,以及定义替代项的效用表达式的功能形式可以识别这种可能性的方法,直至属性被忽略的概率。尽管补充性问题值得争议,但仍值得进一步考虑,尽管最近人们对回答的可靠性存有争议,但最近的兴趣集中在无需借助此类证据的情况下确定属性不参与的情况。在本文中,我们使用描述了替代性汽车非通勤出行的四个属性中的现有选择数据集,以说明所提出的方法,并比较与模型中模型相对应的每种非出勤属性的节省时间值。假定所有属性都得到充分关注。本文揭示了在选择实验的设计中选择属性级别和范围的方式的主要问题,这可能导致无法获得支付意愿的非出勤情况。

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