Performance Evaluation of Public Bus Transportation by Using DEA Models and Shannon’s Entropy: An Example From a Company in a Large City of China

Zicheng Liu; Naiqi Wu; Yan Qiao; Zhiwu Li

doi:10.1109/JAS.2020.1003405

Volume 8 Issue 4

Apr. 2021

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2021 > 8(4): 779-795

Zicheng Liu, Naiqi Wu, Yan Qiao, and Zhiwu Li, "Performance Evaluation of Public Bus Transportation by Using DEA Models and Shannon’s Entropy: An Example From a Company in a Large City of China," IEEE/CAA J. Autom. Sinica, vol. 8, no. 4, pp. 779-795, Apr. 2021. doi: 10.1109/JAS.2020.1003405

Citation:

Zicheng Liu, Naiqi Wu, Yan Qiao, and Zhiwu Li, "Performance Evaluation of Public Bus Transportation by Using DEA Models and Shannon’s Entropy: An Example From a Company in a Large City of China," IEEE/CAA J. Autom. Sinica, vol. 8, no. 4, pp. 779-795, Apr. 2021. doi: 10.1109/JAS.2020.1003405

Citation:

Zicheng Liu, Naiqi Wu, Yan Qiao, and Zhiwu Li, "Performance Evaluation of Public Bus Transportation by Using DEA Models and Shannon’s Entropy: An Example From a Company in a Large City of China," IEEE/CAA J. Autom. Sinica, vol. 8, no. 4, pp. 779-795, Apr. 2021. doi: 10.1109/JAS.2020.1003405

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Performance Evaluation of Public Bus Transportation by Using DEA Models and Shannon’s Entropy: An Example From a Company in a Large City of China

doi: 10.1109/JAS.2020.1003405

Zicheng Liu^1
,,
Naiqi Wu^{1, 2
,
,},
Yan Qiao^1
,,
Zhiwu Li^1
,

1.
Institute of Systems Engineering and the Collaborative Laboratory for Intelligent Science and Systems, Macau University of Science and Technology, Macau, China
2.
State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong University of Technology, Guangzhou 510006, China

Funds: This work was supported in part by the Science and Technology Development Fund (FDCT), Macau SAR (0017/2019/A1, 0002/2020/AKP), and in part by the National Natural Science Foundation of China (61803397)

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Author Bio:
Zicheng Liu received the B.S and M.S. degrees in industrial engineering and mechanical engineering both from Guangdong University of Technology in 2014 and 2017, respectively. During this time, his research interests included discrete event systems, production planning, Petri nets, scheduling and control. He is currently pursuing the Ph.D. degree with the Institute of Systems Engineering, Macau University of Science and Technology. His current research interests include smart transportation, public transport system, scheduling and control

Naiqi Wu (M’04–SM’05–F’19) received the B.S. degree in electrical engineering from Anhui University of Technology in 1982, the M.S. and Ph.D. degrees in systems engineering both from Xi’an Jiaotong University in 1985 and 1988, respectively. From 1988 to 1995, he was with Shenyang Institute of Automation, Chinese Academy of Sciences, and from 1995 to 1998, with Shantou University. He moved to Guangdong University of Technology in 1998. He joined Macau University of Science and Technology, China, in 2013. He was a Visiting Professor at Arizona State University, USA, in 1999; New Jersey Institute of Technology, USA, in 2004; University of Technology of Troyes, France, from 2007 to 2009; and Evry University, France, from 2010 to 2011. He is currently a Chair Professor at the Macau Institute of Systems Engineering, Macau University of Science and Technology, China. His research interests include production planning and scheduling, manufacturing system modeling and control, discrete event systems, Petri net theory and applications, intelligent transportation systems, and energy systems. He is the author or coauthor of one book, five book chapters, and 180+ peer-reviewed journal papers. Dr. Wu was an Associate Editor of the IEEE Transactions on Systems, Man, & Cybernetics, Part C, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Systems, Man, & Cybernetics: Systems, and Editor in Chief of Industrial Engineering Journal, and is an Associate Editor of Information Sciences

Yan Qiao (M’16) received the B.S. and Ph.D. degrees in industrial engineering and mechanical engineering both from Guangdong University of Technology in 2009 and 2015, respectively. From Sept. 2014 to Sept. 2015, he was a Visiting Student with the Department of Electrical and Computer Engineering, New Jersey Institute of Technology, USA. From Jan. 2016 to Dec. 2017, he was a Post-Doctoral Research Associate with the Institute of Systems Engineering, Macau University of Science and Technology, China. Since Jan. 2018, he is an Assistant Professor at Macau University of Science and Technology, China. He has over 60 publications, including one book chapter and over 30 international journal papers. His research interests include discrete event systems, production planning, Petri nets, scheduling and control. Dr. Qiao was a Recipient of the QSI Best Application Paper Award Finalist of 2011 IEEE International Conference on Automation Science and Engineering, the Best Student Paper Award of 2012 IEEE International Conference on Networking, Sensing and Control, and the Best Conference Paper Award Finalist of 2016 IEEE International Conference on Automation Science and Engineering. He has served as a Reviewer for a number of journals

Zhiwu Li (M’06–SM’07–F’16) received the B.S. degree in mechanical engineering, the M.S. degree in automatic control, and the Ph.D. degree in manufacturing engineering all from Xidian University in 1989, 1992, and 1995, respectively. He was with Xidian University in 1992. He is currently a Professor with the Macau Institute of Systems Engineering, Macau University of Science and Technology, China. He has listed in the book of Marquis entitled Who’s Who in the World (27th edition, 2010). He is currently the Founding Chair of the Xi’an Chapter of the IEEE Systems, Man, and Cybernetics Society. He serves as a Frequent Reviewer for over 50 international journals, including Automatica and a number of the IEEE transactions and many international conferences
Corresponding author: Naiqi Wu, e-mail: nqwu@must.edu.mo
Received Date: 2020-03-24
Accepted Date: 2020-04-25

Available Online: 2020-05-22

Abstract

Abstract

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.
- Performance evaluation,
- public transportation system,
- Shannon’s entropy,
- super-efficiency data envelopment analysis,
- undesirable outputs

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References

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Investigation is carried out to evaluate the efficiency of public bus transportation for a company of a large city in China by using data envelopment analysis.
A mixed super-efficiency data envelopment analysis model is proposed by embedding Shannon’s entropy into it.
The investigation considers both the operators’ operations and passenger satisfaction with undesirable outputs.
Numerical results and comparisons are used to demonstrate the advantages of the proposed method.

Performance Evaluation of Public Bus Transportation by Using DEA Models and Shannon’s Entropy: An Example From a Company in a Large City of China

doi: 10.1109/JAS.2020.1003405

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