{"title":"考虑碳配额激励的预约收费策略","authors":"Yi Hu, Zhigang Jin, Zepei Liu, Gen Li","doi":"10.1016/j.trd.2025.104705","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, taking electric taxis (ETs) as the research subject, the application of individual carbon trading mechanism in ET scheduling is taken into consideration, and a reservation charging strategy that considers default situations is proposed. Firstly, a market mechanism is proposed for ETs to participate in the joint electricity-carbon market. Then, according to ET charging scenarios, a reservation charging mechanism and the criteria on default judging are suggested. Finally, based on the demands for ETs taking part in the carbon emission market, an optimization model is constructed with the aim of minimizing total charging costs and maximizing charging satisfaction. Additionally, a multi-strategy hybrid sparrow search algorithm is employed to solve the proposed model. Examples indicate that the suggested charging optimization model can regulate the charging load distribution while simultaneously reducing ET charging costs and carbon emissions.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"142 ","pages":"Article 104705"},"PeriodicalIF":7.3000,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A novel reservation-based charging strategy considering carbon quota incentives\",\"authors\":\"Yi Hu, Zhigang Jin, Zepei Liu, Gen Li\",\"doi\":\"10.1016/j.trd.2025.104705\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this paper, taking electric taxis (ETs) as the research subject, the application of individual carbon trading mechanism in ET scheduling is taken into consideration, and a reservation charging strategy that considers default situations is proposed. Firstly, a market mechanism is proposed for ETs to participate in the joint electricity-carbon market. Then, according to ET charging scenarios, a reservation charging mechanism and the criteria on default judging are suggested. Finally, based on the demands for ETs taking part in the carbon emission market, an optimization model is constructed with the aim of minimizing total charging costs and maximizing charging satisfaction. Additionally, a multi-strategy hybrid sparrow search algorithm is employed to solve the proposed model. Examples indicate that the suggested charging optimization model can regulate the charging load distribution while simultaneously reducing ET charging costs and carbon emissions.</div></div>\",\"PeriodicalId\":23277,\"journal\":{\"name\":\"Transportation Research Part D-transport and Environment\",\"volume\":\"142 \",\"pages\":\"Article 104705\"},\"PeriodicalIF\":7.3000,\"publicationDate\":\"2025-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Research Part D-transport and Environment\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1361920925001154\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part D-transport and Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1361920925001154","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
A novel reservation-based charging strategy considering carbon quota incentives
In this paper, taking electric taxis (ETs) as the research subject, the application of individual carbon trading mechanism in ET scheduling is taken into consideration, and a reservation charging strategy that considers default situations is proposed. Firstly, a market mechanism is proposed for ETs to participate in the joint electricity-carbon market. Then, according to ET charging scenarios, a reservation charging mechanism and the criteria on default judging are suggested. Finally, based on the demands for ETs taking part in the carbon emission market, an optimization model is constructed with the aim of minimizing total charging costs and maximizing charging satisfaction. Additionally, a multi-strategy hybrid sparrow search algorithm is employed to solve the proposed model. Examples indicate that the suggested charging optimization model can regulate the charging load distribution while simultaneously reducing ET charging costs and carbon emissions.
期刊介绍:
Transportation Research Part D: Transport and Environment focuses on original research exploring the environmental impacts of transportation, policy responses to these impacts, and their implications for transportation system design, planning, and management. The journal comprehensively covers the interaction between transportation and the environment, ranging from local effects on specific geographical areas to global implications such as natural resource depletion and atmospheric pollution.
We welcome research papers across all transportation modes, including maritime, air, and land transportation, assessing their environmental impacts broadly. Papers addressing both mobile aspects and transportation infrastructure are considered. The journal prioritizes empirical findings and policy responses of regulatory, planning, technical, or fiscal nature. Articles are policy-driven, accessible, and applicable to readers from diverse disciplines, emphasizing relevance and practicality. We encourage interdisciplinary submissions and welcome contributions from economically developing and advanced countries alike, reflecting our international orientation.