具有非均匀边际信息成本的广义理性注意力不集中路线选择模型

IF 5.8 1区 工程技术 Q1 ECONOMICS Transportation Research Part B-Methodological Pub Date : 2024-11-01 DOI:10.1016/j.trb.2024.102993
Bo Zhou , Ronghui Liu
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引用次数: 0

摘要

信息消耗注意力。在信息丰富的社会中,大量的信息可以为决策提供支持,但也可能造成注意力贫乏,无法充分利用信息。本研究将理性注意力缺失理论应用于模拟旅客的路线选择行为,在这种情况下,旅客对信息的注意力(成本)是不均匀的。我们建立了边际信息成本不均匀的广义理性注意力不集中路线选择模型的数学公式,并证明了所有路线的最优条件路线选择概率总是位于路线选择模型可行区域的内部。基于这一特性,我们分析了最优条件选择概率的闭式表达,并设计了一种高效的迭代求解算法来计算最优条件选择概率。最后,我们通过两个数值示例来证明理性不专心路线选择行为的理论特性。这种行为建模方法为理性不专心的旅行者如何自发地从获取的信息中学习最优路线选择提供了启示。
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A generalized rationally inattentive route choice model with non-uniform marginal information costs
Information consumes attention. In the information-rich society, a wealth of information can support decision-making, but it can also create poverty of attention to and inability to make the best use of information. This study applies the theory of rational inattention in modelling traveller’s route choice behaviour, where the attention (costs) to information is non-uniform. We establish the mathematical formulation of a generalized rationally inattentive route choice model with non-uniform marginal information costs, and prove that the optimal conditional route choice probabilities for all the routes always locate within the interior of the feasible region of the route choice model. Based on this property, we analytically characterize the closed-form expression of the optimal conditional choice probabilities, and devise an efficient iterative solution algorithm to compute them. Finally, two numerical examples are conducted to demonstrate the theoretical properties of the rationally inattentive route choice behaviour. This behavioural modelling approach provides an insight on how the rationally inattentive travellers spontaneously learn the optimal route choice from the acquired information.
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来源期刊
Transportation Research Part B-Methodological
Transportation Research Part B-Methodological 工程技术-工程:土木
CiteScore
12.40
自引率
8.80%
发文量
143
审稿时长
14.1 weeks
期刊介绍: Transportation Research: Part B publishes papers on all methodological aspects of the subject, particularly those that require mathematical analysis. The general theme of the journal is the development and solution of problems that are adequately motivated to deal with important aspects of the design and/or analysis of transportation systems. Areas covered include: traffic flow; design and analysis of transportation networks; control and scheduling; optimization; queuing theory; logistics; supply chains; development and application of statistical, econometric and mathematical models to address transportation problems; cost models; pricing and/or investment; traveler or shipper behavior; cost-benefit methodologies.
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