{"title":"Urban passenger-and-package sharing transportation by e-hailing taxis: A simulation-based pricing analysis in shanghai","authors":"","doi":"10.1016/j.tranpol.2024.07.020","DOIUrl":null,"url":null,"abstract":"<div><p>This study proposes a framework of an urban passenger-and-package sharing (PPS) system that utilizes e-hailing taxis to transport packages in addition to passengers. We examine the interactions between stakeholders and highlight the role of the pricing strategy in the system, including passenger fare discounts and driver incentives for PPS trips. Higher discounts and incentives stimulate more passengers and taxi drivers, respectively, to participate in the PPS system but possibly limit the profit of the service provider. A multi-agent simulation model is developed to analyze the influences of the pricing strategy on the behaviors of the service provider, passengers, and taxi drivers. The real-world case study demonstrates that the service provider, passengers, and taxi drivers benefit from different combinations of the passenger fare discounts and driver incentives. The pricing strategy could be set up to produce the system optimal (SO) situation that maximizes the total benefit, or win-win situations that simultaneously benefit all stakeholders—the service provider gains a higher profit, passengers enjoy lower travel costs, and taxi drivers have higher incomes when compared to the traditional e-hailing taxi system. The public authority is suggested to provide a subsidy to expand the domain of win-win situations to cover the SO situation, such that the system benefits all stakeholders and obtains the maximum total benefit.</p></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":null,"pages":null},"PeriodicalIF":6.3000,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transport Policy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0967070X24002221","RegionNum":2,"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 study proposes a framework of an urban passenger-and-package sharing (PPS) system that utilizes e-hailing taxis to transport packages in addition to passengers. We examine the interactions between stakeholders and highlight the role of the pricing strategy in the system, including passenger fare discounts and driver incentives for PPS trips. Higher discounts and incentives stimulate more passengers and taxi drivers, respectively, to participate in the PPS system but possibly limit the profit of the service provider. A multi-agent simulation model is developed to analyze the influences of the pricing strategy on the behaviors of the service provider, passengers, and taxi drivers. The real-world case study demonstrates that the service provider, passengers, and taxi drivers benefit from different combinations of the passenger fare discounts and driver incentives. The pricing strategy could be set up to produce the system optimal (SO) situation that maximizes the total benefit, or win-win situations that simultaneously benefit all stakeholders—the service provider gains a higher profit, passengers enjoy lower travel costs, and taxi drivers have higher incomes when compared to the traditional e-hailing taxi system. The public authority is suggested to provide a subsidy to expand the domain of win-win situations to cover the SO situation, such that the system benefits all stakeholders and obtains the maximum total benefit.
期刊介绍:
Transport Policy is an international journal aimed at bridging the gap between theory and practice in transport. Its subject areas reflect the concerns of policymakers in government, industry, voluntary organisations and the public at large, providing independent, original and rigorous analysis to understand how policy decisions have been taken, monitor their effects, and suggest how they may be improved. The journal treats the transport sector comprehensively, and in the context of other sectors including energy, housing, industry and planning. All modes are covered: land, sea and air; road and rail; public and private; motorised and non-motorised; passenger and freight.