Kexin Geng , Zhiyuan Liang , Erik T. Verhoef , Yacan Wang
{"title":"管理道路和铁路网络中不确定的交通和社会外部性:定价与许可","authors":"Kexin Geng , Zhiyuan Liang , Erik T. Verhoef , Yacan Wang","doi":"10.1016/j.trb.2025.103214","DOIUrl":null,"url":null,"abstract":"<div><div>This paper studies the relative performance of congestion pricing versus tradable permits for a congested bi-modal transport system with traffic externalities, that affect passengers only, and societal externalities that go beyond the passengers. The point in this case is infection risks, as in the pandemic. We study this relative performance for the case where there are uncertainties on both traffic externalities and societal externalities. Earlier literature considered the relative performance of prices and permits for the case with only stochastic traffic externalities. The numerical results indicate that, given how infection risks are likely to affect social cost functions, pricing regulation can be expected to perform better than a tradable permit scheme when there are uncertainties on private infection cost, especially when the uncertainties on the marginal private infection cost increase. However, the government can enhance the performance of tradable permits by allowing the bankability of permits, or by actively engaging in buying or selling permits to optimize the price in response to the realization of stochastic parameters. The results provide theoretical support for policymakers to choose the optimal instruments to internalize the multiple external costs when uncertainties exist.</div></div>","PeriodicalId":54418,"journal":{"name":"Transportation Research Part B-Methodological","volume":"196 ","pages":"Article 103214"},"PeriodicalIF":5.8000,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Managing uncertain traffic and societal externalities in a road and rail network: Pricing versus Permits\",\"authors\":\"Kexin Geng , Zhiyuan Liang , Erik T. Verhoef , Yacan Wang\",\"doi\":\"10.1016/j.trb.2025.103214\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper studies the relative performance of congestion pricing versus tradable permits for a congested bi-modal transport system with traffic externalities, that affect passengers only, and societal externalities that go beyond the passengers. The point in this case is infection risks, as in the pandemic. We study this relative performance for the case where there are uncertainties on both traffic externalities and societal externalities. Earlier literature considered the relative performance of prices and permits for the case with only stochastic traffic externalities. The numerical results indicate that, given how infection risks are likely to affect social cost functions, pricing regulation can be expected to perform better than a tradable permit scheme when there are uncertainties on private infection cost, especially when the uncertainties on the marginal private infection cost increase. However, the government can enhance the performance of tradable permits by allowing the bankability of permits, or by actively engaging in buying or selling permits to optimize the price in response to the realization of stochastic parameters. The results provide theoretical support for policymakers to choose the optimal instruments to internalize the multiple external costs when uncertainties exist.</div></div>\",\"PeriodicalId\":54418,\"journal\":{\"name\":\"Transportation Research Part B-Methodological\",\"volume\":\"196 \",\"pages\":\"Article 103214\"},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2025-04-17\",\"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/S0191261525000633\",\"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/S0191261525000633","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Managing uncertain traffic and societal externalities in a road and rail network: Pricing versus Permits
This paper studies the relative performance of congestion pricing versus tradable permits for a congested bi-modal transport system with traffic externalities, that affect passengers only, and societal externalities that go beyond the passengers. The point in this case is infection risks, as in the pandemic. We study this relative performance for the case where there are uncertainties on both traffic externalities and societal externalities. Earlier literature considered the relative performance of prices and permits for the case with only stochastic traffic externalities. The numerical results indicate that, given how infection risks are likely to affect social cost functions, pricing regulation can be expected to perform better than a tradable permit scheme when there are uncertainties on private infection cost, especially when the uncertainties on the marginal private infection cost increase. However, the government can enhance the performance of tradable permits by allowing the bankability of permits, or by actively engaging in buying or selling permits to optimize the price in response to the realization of stochastic parameters. The results provide theoretical support for policymakers to choose the optimal instruments to internalize the multiple external costs when uncertainties exist.
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.