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A RANDOM REGRET-MINIMIZATION MODEL OF TRAVEL CHOICE BASED ON INFORMATION

机译:基于信息的旅行选择随机后退最小化模型

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This paper presents a random regret-minimization model of travel choice based on information. The model is rooted in regret theory and considers the influence of information to spatial choice behavior and individuals updating their beliefs about locations. Differs form other models of travel choice based on random utility-maximization, we considered the individual's two travel choice behaviors under conditions of limited information. The first is to avoid the regret i.e. a non-chosen alternative turns out to be more attractive than the chosen one. The second is to postpone their choice and search for more information. Before making a trip, individuals may increase their knowledge about their environment via searching for information and considered the influence of information to alternatives and beliefs. The proposed model refers to the travel choice behavior under the situation of information and random regret-minimization. The model is proved to be accord with reality.
机译:本文提出了一种基于信息的旅行选择的随机后悔最小化模型。该模型扎根于遗憾理论,并考虑了信息对空间选择行为和个人更新其对位置的信念的影响。与其他基于随机效用最大化的出行选择模型不同,我们考虑了在信息有限的情况下个人的两种出行选择行为。首先是避免后悔,即未选择的替代方法比选择的替代方法更具吸引力。第二个是推迟他们的选择并搜索更多信息。在出行之前,个人可以通过搜索信息来增加对周围环境的了解,并考虑信息对替代品和信念的影响。所提出的模型涉及信息和随机后悔最小化情况下的出行选择行为。该模型被证明是符合实际的。

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