{"title":"Pricing strategies in an M/G/m/m loss system: A case study of Incheon International Airport customer services","authors":"Junseok Park , Ilkyeong Moon","doi":"10.1016/j.tre.2024.103821","DOIUrl":null,"url":null,"abstract":"<div><div>This paper studied the optimal pricing strategy based on a highly realistic pricing scheme in order to maximize the revenue of a service modeled as an M/G/m/m loss system. The blocking probability is considered together to prevent compromising the quality of service. Customers’ willingness-to-pay is regarded to be randomly distributed, indicating price-dependent arrival. Considering the severe complexity of the proposed model, the optimal pricing strategy is numerically investigated through computational experiments based on case studies of two actual services currently operated at Incheon International Airport (Seoul, South Korea). The two services represent a congested and quiet situation, allowing for the analysis of opposite cases. The results of the computational experiments clearly demonstrate distinct optimal strategies for the two contrasting situations. The performance of the two services with their current pricing strategies is evaluated, providing managerial insights for the service providers.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"192 ","pages":"Article 103821"},"PeriodicalIF":8.3000,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part E-Logistics and Transportation Review","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1366554524004125","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper studied the optimal pricing strategy based on a highly realistic pricing scheme in order to maximize the revenue of a service modeled as an M/G/m/m loss system. The blocking probability is considered together to prevent compromising the quality of service. Customers’ willingness-to-pay is regarded to be randomly distributed, indicating price-dependent arrival. Considering the severe complexity of the proposed model, the optimal pricing strategy is numerically investigated through computational experiments based on case studies of two actual services currently operated at Incheon International Airport (Seoul, South Korea). The two services represent a congested and quiet situation, allowing for the analysis of opposite cases. The results of the computational experiments clearly demonstrate distinct optimal strategies for the two contrasting situations. The performance of the two services with their current pricing strategies is evaluated, providing managerial insights for the service providers.
期刊介绍:
Transportation Research Part E: Logistics and Transportation Review is a reputable journal that publishes high-quality articles covering a wide range of topics in the field of logistics and transportation research. The journal welcomes submissions on various subjects, including transport economics, transport infrastructure and investment appraisal, evaluation of public policies related to transportation, empirical and analytical studies of logistics management practices and performance, logistics and operations models, and logistics and supply chain management.
Part E aims to provide informative and well-researched articles that contribute to the understanding and advancement of the field. The content of the journal is complementary to other prestigious journals in transportation research, such as Transportation Research Part A: Policy and Practice, Part B: Methodological, Part C: Emerging Technologies, Part D: Transport and Environment, and Part F: Traffic Psychology and Behaviour. Together, these journals form a comprehensive and cohesive reference for current research in transportation science.