A Combination Weighting Method for Public Transportation Safety Evaluation Index System of Multi-Disasters about Large Passenger Terminals

Abstract

Aiming at the public transportation safety system for the complicated large passenger terminals, multi-disasters and multi-index safety evaluations are still rare in China. In the process of the safety evaluation, weighting for every indicator directly affects the accuracy and reliability of the evaluation results. In the public transportation safety system for large passenger terminals, some indicators are difficult to be quantified, so subjective weighting methods must be taken instead of external ones. If all the weighting methods adopted are objective, it is not only hard to implement, but also not objective for the method itself. In addition, passenger terminals in different regions are faced with different types of emergencies. They cannot be treated as the same, so the concept of “experts priority” is cited. It is different from other multi-index safety evaluation methods. This paper presents a new combination weighting method, which combines improved AHP method, a means square deviation weighting method and “experts priority”. This method theoretically solves the one-sided shortcoming of AHP in weights determining, and it has lower computational complexity and smaller amount of calculation than a neural networks method. Finally, a case study is applied to prove the effectiveness and the rationality of the method.