{"title":"交通基础设施适应的政府说服策略:溢出效应和社会福利影响","authors":"Shiyuan Zheng , Changmin Jiang","doi":"10.1016/j.trb.2025.103221","DOIUrl":null,"url":null,"abstract":"<div><div>This paper explores the government's strategies to persuade multiple transport facility operators to undertake adaptation projects, particularly within the Asian doctrine governance regime, where the government exerts significant influence over facility operations. We develop a Bayesian persuasion model to analyze these strategies, focusing on the spillover effects among operators' projects and their externalities (both positive and negative) on social welfare. Our findings suggest that a straightforward signaling strategy, which directly advises operators on whether to invest, can effectively convey disaster information. When there are no spillover effects and the adaptation projects positively impact social welfare, the government should fully disclose disaster information and persuade operators based on their willingness to invest. However, higher adaptation costs or larger spillover effects complicate the government's persuasion efforts. To demonstrate the practical value of our theoretical framework, we apply our Bayesian persuasion model to the case of port adaptation in the Greater Bay Area in China. The model calibration results indicate that when operators act independently, larger spillover effects can lead to either lower or higher social welfare, depending on whether the adaptation projects have positive or negative impacts, respectively. When adaptation projects positively affect social welfare, operators' alliance strategies of joint adaptation investment or resource sharing enhance social welfare. If spillover effects exist among operators, a benefit distribution scheme based on the Shapley value can maintain stability within the grand coalition of all operators. Finally, increasing adaptation costs have uneven impacts on different operators, with those facing the highest costs being more likely to be excluded from the government's persuasion efforts.</div></div>","PeriodicalId":54418,"journal":{"name":"Transportation Research Part B-Methodological","volume":"196 ","pages":"Article 103221"},"PeriodicalIF":5.8000,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Government persuasion strategies for transport infrastructure adaptation: Spillover effects and social welfare impacts\",\"authors\":\"Shiyuan Zheng , Changmin Jiang\",\"doi\":\"10.1016/j.trb.2025.103221\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper explores the government's strategies to persuade multiple transport facility operators to undertake adaptation projects, particularly within the Asian doctrine governance regime, where the government exerts significant influence over facility operations. We develop a Bayesian persuasion model to analyze these strategies, focusing on the spillover effects among operators' projects and their externalities (both positive and negative) on social welfare. Our findings suggest that a straightforward signaling strategy, which directly advises operators on whether to invest, can effectively convey disaster information. When there are no spillover effects and the adaptation projects positively impact social welfare, the government should fully disclose disaster information and persuade operators based on their willingness to invest. However, higher adaptation costs or larger spillover effects complicate the government's persuasion efforts. To demonstrate the practical value of our theoretical framework, we apply our Bayesian persuasion model to the case of port adaptation in the Greater Bay Area in China. The model calibration results indicate that when operators act independently, larger spillover effects can lead to either lower or higher social welfare, depending on whether the adaptation projects have positive or negative impacts, respectively. When adaptation projects positively affect social welfare, operators' alliance strategies of joint adaptation investment or resource sharing enhance social welfare. If spillover effects exist among operators, a benefit distribution scheme based on the Shapley value can maintain stability within the grand coalition of all operators. Finally, increasing adaptation costs have uneven impacts on different operators, with those facing the highest costs being more likely to be excluded from the government's persuasion efforts.</div></div>\",\"PeriodicalId\":54418,\"journal\":{\"name\":\"Transportation Research Part B-Methodological\",\"volume\":\"196 \",\"pages\":\"Article 103221\"},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2025-04-24\",\"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/S0191261525000700\",\"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/S0191261525000700","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Government persuasion strategies for transport infrastructure adaptation: Spillover effects and social welfare impacts
This paper explores the government's strategies to persuade multiple transport facility operators to undertake adaptation projects, particularly within the Asian doctrine governance regime, where the government exerts significant influence over facility operations. We develop a Bayesian persuasion model to analyze these strategies, focusing on the spillover effects among operators' projects and their externalities (both positive and negative) on social welfare. Our findings suggest that a straightforward signaling strategy, which directly advises operators on whether to invest, can effectively convey disaster information. When there are no spillover effects and the adaptation projects positively impact social welfare, the government should fully disclose disaster information and persuade operators based on their willingness to invest. However, higher adaptation costs or larger spillover effects complicate the government's persuasion efforts. To demonstrate the practical value of our theoretical framework, we apply our Bayesian persuasion model to the case of port adaptation in the Greater Bay Area in China. The model calibration results indicate that when operators act independently, larger spillover effects can lead to either lower or higher social welfare, depending on whether the adaptation projects have positive or negative impacts, respectively. When adaptation projects positively affect social welfare, operators' alliance strategies of joint adaptation investment or resource sharing enhance social welfare. If spillover effects exist among operators, a benefit distribution scheme based on the Shapley value can maintain stability within the grand coalition of all operators. Finally, increasing adaptation costs have uneven impacts on different operators, with those facing the highest costs being more likely to be excluded from the government's persuasion efforts.
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.