Using entropy-TOPSIS method to evaluate urban rail transit system operation performance: The China case

Urban rail transit system operation performance evaluation results are important for government, transit operators and passengers. In this paper, the authors formulate an entropy-Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Method to evaluate the urban rail transit system’s operation performance from the operator’s, passenger’s and government’s perspectives. Firstly, the authors establish the evaluation indicator system with 8 indicators and a total of 41 sub-indicators, the operational data of the 41 sub-indicators will be used as the input of the approach. Second, the authors formulate their new approach to obtain the performance evaluation: the Entropy Weight Method (EWM) will be used to calculate the weight of each sub-indicator; the product of the corresponding probability and weight will be used to formulate the performance from operator’s, passenger’s and government’s perspectives; the TOPSIS will be used to calculate the comprehensive evaluation values and rankings of performance for each month. Third, the Chengdu subway with 34 months initial data will be chosen as the case study to test the authors' new approach, the related suggestions to the government, to the passengers as well as the operators and managers will also be given.

• Record URL:
  • https://doi.org/10.1016/j.tra.2018.03.025
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0965856417306390
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09658564
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier.
• Authors:
  • Huang, Wencheng
  • Shuai, Bin
  • Sun, Yan
  • Wang, Yang
  • Antwi, Eric
• Publication Date: 2018-5

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 292-303
• Serial:
  • Transportation Research Part A: Policy and Practice
  • Volume: 111
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0965-8564
  • Serial URL: http://www.sciencedirect.com/science/journal/09658564

Subject/Index Terms

• TRT Terms: Case studies; Entropy (Statistical mechanics); Multiple criteria decision making; Performance measurement; Rail transit; Subways
• Identifier Terms: Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)
• Geographic Terms: Chengdu (China); China
• Subject Areas: Operations and Traffic Management; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01669180
• Record Type: Publication
• Files: TRIS
• Created Date: May 17 2018 2:45PM