Transportation Model of Emergency Transportation Assurance System Based on the Fuzzy Risk Control Theory

After the "5.12 Wenchuan Earthquake" occurred, the transportation command and dispatch department transported a large number of disaster relief materials and personnel to the disaster areas via road transportation system in the shortest time and under minimum risk, which effectively supported the earthquake relief and post-disaster reconstruction work. Based on summing up and reflecting the emergency transportation assurance work of Wenchuan Earthquake and through studying the rough and multi-attribute decision-making theories and methods, the concept of fuzzy risk control theory and a mathematical model is set up in this paper, combining with GIS and GPS, which perfects the vehicle dispatch system for emergency transportation. All of these lead to set up a set of high-efficiency and low-risk emergency transportation assurance system in the shortest time after the emergency events occur.

• Record URL:
  https://doi.org/10.1061/41039(345)553
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784410394
• Supplemental Notes:
  • © 2009 American Society of Civil Engineering.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Wu, Bo
  • Li, Bing
  • Jiang, Chaozhe
• 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
• Features: Figures; References; Tables;
• Pagination: pp 3356-3361
• Monograph Title: International Conference on Transportation Engineering 2009

Subject/Index Terms

• TRT Terms: Decision making; Disasters and emergency operations; Dispatching; Earthquakes; Fuzzy logic; Mathematical methods; Risk management
• Subject Areas: Highways; Planning and Forecasting; Security and Emergencies; I15: Environment; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01534716
• Record Type: Publication
• ISBN: 9780784410394
• Files: TRIS, ASCE
• Created Date: Aug 15 2014 2:05PM