https://orcid.org/0000-0002-4209-7192
https://orcid.org/0000-0003-0405-5458
https://orcid.org/0000-0001-9185-3989
https://orcid.org/0000-0002-4209-7192
https://orcid.org/0000-0003-0405-5458
https://orcid.org/0000-0001-9185-3989
As an important national initiative, China’s public transport priority development strategy is conducive to the development of the public transport industry and urban economic construction. However, current public transport operation is inefficient due to the information asymmetry between the government and public transport enterprises, thereby inevitably generating losses. To address the issue of information asymmetry, this study designs a public transport subsidy allocation method from the perspective of incentives and discusses the allocation results using this method through a case study. The rationality of the proposed method and the scientificity and authenticity of the conclusions, are fully explained and demonstrated via the experimental simulation. Based on real published data of public transport enterprises, the proposed method can motivate public transport enterprises to improve their performance. In the case of reporting false data, the proposed method can motivate public transport enterprises to report accurate data.
An Integrated Data Envelopment Analysis and Non-Cooperative Game Approach for Public Transportation Incentive Subsidy Allocation
IEEE Transactions on Intelligent Transportation Systems ; 23 , 11 ; 21515-21530
2022-11-01
5368891 byte
Article (Journal)
Electronic Resource
English
A performance-based subsidy allocation of ferry transportation: A data envelopment approach
| British Library Online Contents | 2018
Non-cooperative and cooperative solutions of government subsidy on public transportation
| DOAJ | 2018
Analysing Transportation Public Agencies Performance Using Data Envelopment Analysis
| British Library Conference Proceedings | 1997
Subsidy Method for Cold Route of Public Transportation
| ASCE | 2011
Performance Management of Public Transportation by the Network Data Envelopment Analysis (DEA) Model
| DOAJ | 2020