Optimization of Rail Transit Network Based on Weighted PCA-TOPSIS Model

The evaluation index system of urban rail transit network, including three levels and five subsystems, is improved based on referencing the research of Chinese cities. The paper proposes the weighted PCA-TOPSIS model to solve the limitation of existing evaluation methods. The method considers the index attribute to build a first matrix, with standardized processing of linear calibration conversion. And building a weighted decision matrix with the subjective G1 method and objective entropy method, which analyzes the preference of decision makers and information of data. The model makes data uncorrelated with dimension reduction of principal component analysis (PCA) and improves the efficiency of multiple-attribute decision-making TOPSIS to choose the optimal scheme. The method is applied to assess Yinchuan rail transit network planning, and the optimal scheme is chosen from the four networks. The result shows that this method is reasonable and effective.

• Record URL:
  • https://doi.org/10.1061/9780784485484.319
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784485484
• Supplemental Notes:
  • © 2024 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Zhao, Ruisong
  • Shao, Junhao
  • Zhou, Qiang
  • Liu, Qingyi
  • LI, Xuchen
  • Guo, Mengdi
  • Wang, Jiaojiao
  • Zhao, Linshan
• Conference:
  • 24th COTA International Conference of Transportation Professionals
  • Location: Shenzhen , China
  • Date: 2024-7-23 to 2024-7-26
• Publication Date: 2024

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 3366-3374
• Monograph Title: CICTP 2024: Resilient, Intelligent, Connected, and Low-Carbon Multimodal Transportation

Subject/Index Terms

• TRT Terms: Networks; Optimization; Rail transit; Transportation planning
• Identifier Terms: Principal Component Analysis; Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)
• Geographic Terms: Yinchuan Shi (China)
• Subject Areas: Operations and Traffic Management; Planning and Forecasting; Public Transportation; Railroads;

Filing Info

• Accession Number: 01940856
• Record Type: Publication
• ISBN: 9780784485484
• Files: TRIS, ASCE
• Created Date: Dec 24 2024 4:44PM