{"title":"Strategies of electricity enterprises and urban parks cooperatively investing in electric vehicle charging stations","authors":"","doi":"10.1016/j.cie.2024.110528","DOIUrl":null,"url":null,"abstract":"<div><p>Cities are increasingly pursuing sustainable development. To this end, we constructed two game models of cooperation between the electricity enterprise and the urban park manager to invest in charging stations (CSs) of energy vehicles (EVs). Model A involves revenue sharing between these entities, while Model B assumes that the electricity enterprise pays site leasing fees to the urban park manager. The CS investment capacity constraint is also considered. Based on the equilibrium solution of the models, we draw the following conclusions. Firstly, when the CS investment capacity constraint is small, the CS investment amount is equal under both models, while the leasing model provides a higher charging price and lower electricity demand for CS. Secondly, when the CS investment capacity constraint is moderate, the CS investment amount under the leasing model and the charging price are higher. The electricity demand for CS is mainly affected by the revenue sharing ratio. Thirdly, when the CS investment capacity constraint is high, the CS investment amount is affected by the finding cost of CS and the charging price changes accordingly with the electricity demand for CS. Finally, a decrease in the finding cost of CS does not necessarily lead to greater investment in CSs.</p></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":6.7000,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Industrial Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0360835224006491","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Cities are increasingly pursuing sustainable development. To this end, we constructed two game models of cooperation between the electricity enterprise and the urban park manager to invest in charging stations (CSs) of energy vehicles (EVs). Model A involves revenue sharing between these entities, while Model B assumes that the electricity enterprise pays site leasing fees to the urban park manager. The CS investment capacity constraint is also considered. Based on the equilibrium solution of the models, we draw the following conclusions. Firstly, when the CS investment capacity constraint is small, the CS investment amount is equal under both models, while the leasing model provides a higher charging price and lower electricity demand for CS. Secondly, when the CS investment capacity constraint is moderate, the CS investment amount under the leasing model and the charging price are higher. The electricity demand for CS is mainly affected by the revenue sharing ratio. Thirdly, when the CS investment capacity constraint is high, the CS investment amount is affected by the finding cost of CS and the charging price changes accordingly with the electricity demand for CS. Finally, a decrease in the finding cost of CS does not necessarily lead to greater investment in CSs.
期刊介绍:
Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.