Application of TOPSIS in Evaluating Transfer Efficiency at Urban Railway Passenger Station

In this paper, an evaluation approach has been developed based on TOPSIS to help authorities determine the optimal choice in building or rebuilding projects of urban railway passenger stations. TOPSIS is one of the well-known and useful techniques for multiple-attribute or multiple-criteria decision making (MADM/MCDM). For the original TOPSIS depending on acquired weights of attributes, which usually are unknown in fact, therefore an improvement method has been used in this paper, which uses the analytic hierarchy process (AHP) method to figure out weights of attributes. In addition, considering the difficulty of obtaining precise values for each attribute in practice, this paper develops an extension TOPSIS with triangle fuzzy number to overcome the disadvantage above. In the end, an example has been demonstrated for efficiency of this investigation.

• Record URL:
  https://doi.org/10.1061/41039(345)309
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784410394
• Supplemental Notes:
  • © 2009 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Zhang, Can
  • Xu, Liangjie
• Conference:
  • Second International Conference on Transportation Engineering
  • Location: Chengdu , China
  • Date: 2009-7-25 to 2009-7-27
• Publication Date: 2009-7

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 1866-1871
• Monograph Title: International Conference on Transportation Engineering 2009

Subject/Index Terms

• TRT Terms: Analytic hierarchy process; Improvements; Multiple criteria decision making; Passenger terminals; Railroad stations; Transfer centers; Urban areas
• Uncontrolled Terms: Operational efficiency
• Subject Areas: Passenger Transportation; Railroads; Terminals and Facilities; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01528227
• Record Type: Publication
• ISBN: 9780784410394
• Files: TRIS, ASCE
• Created Date: Jun 14 2014 4:01PM