Performance Evaluation of Public Bus Transpor-tation by Using DEA Models and Shannon's Entropy: An Example From a Company in a Large City of China

• 来源期刊: 自动化学报（英文版）
• 年，卷（期）: 2021,（4）
• 所属期刊栏目: PAPERS
• 页码范围: 779-795
• 页数: 17页
• 语种: 英文
• DOI: 10.1109/JAS.2020.1003405

摘要

The purpose of this paper is to assess the operational efficiency of a public bus transportation via a case study from a company in a large city of China by using data envelopment analysis (DEA) model and Shannon's entropy. This company operates 37 main routes on the backbone roads. Thus, it plays a significant role in public transportation in the city. According to bus industry norms, an efficiency evaluation index system is constructed from the perspective of both company operations and passenger demands. For passenger satisfaction, passenger waiting time and passenger-crowding degree are considered, and they are undesirable indicators. To describe such indicators, a super-efficient DEA model is constructed. With this model, by using actual data, efficiency is evaluated for each bus route. Results show that the DEA model with Shannon's entropy being combined achieves more reasonable results. Also, sensitivity analysis is presented. Therefore, the results are meaningful for the company to improve its operations and management.