Yao Dongqiang
School of Transportation, Southeast University, Nanjing Jiangsu, People�s Republic of China
ABSTRACT
Considering the risk attitude of decision makers on the impact of public transportation network optimization decision, public transportation network grey relevancy optimization model is put up on the base of cumulative prospect theory after elaborating objective function and constraints of public transportation network. Firstly, the [-1,1] linear transformation operator is used to standardize the original decision-making information and get the positive and negative ideal schemes which are taken as the reference points of priority by the way of TOPSIS. Secondly, the positive and negative grey relevancy matrixes are established for taking the positive and negative ideal schemes as reference sequences and taking decision-making programs as compared sequence on the base of grey system theory. Thirdly, the positive and negative prospect value matrixes and the nonlinear planning model for the maximum of comprehensive prospect value are put up on the base of cumulative prospect theory and its prospect value functions, the optimum weight vector is solved and the best program is determined. Finally, Case of Xian shows that the method can adjust the public transportation network better and the optimization solution is more reasonable to meet the actual needs.
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How to cite this article
Yao Dongqiang, 2013. Optimization Research of Urban Public Transport Network from the Perspective of Risk Attitudes of Decision Makers. Journal of Applied Sciences, 13: 4300-4305.
DOI: 10.3923/jas.2013.4300.4305
URL: https://scialert.net/abstract/?doi=jas.2013.4300.4305
DOI: 10.3923/jas.2013.4300.4305
URL: https://scialert.net/abstract/?doi=jas.2013.4300.4305
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