{"title":"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","authors":"Bo Zhou , Ronghui Liu","doi":"10.1016/j.trb.2024.102993","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":54418,"journal":{"name":"Transportation Research Part B-Methodological","volume":"189 ","pages":"Article 102993"},"PeriodicalIF":5.8000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A generalized rationally inattentive route choice model with non-uniform marginal information costs\",\"authors\":\"Bo Zhou , Ronghui Liu\",\"doi\":\"10.1016/j.trb.2024.102993\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":54418,\"journal\":{\"name\":\"Transportation Research Part B-Methodological\",\"volume\":\"189 \",\"pages\":\"Article 102993\"},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Research Part B-Methodological\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0191261524001176\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part B-Methodological","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0191261524001176","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
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.
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.