Urban Rail Transit Financial Subsidy Decision Based on Information Fusion

2013 ◽  
Vol 361-363 ◽  
pp. 1954-1957
Author(s):  
Hong Yan Liang ◽  
Jian Jun Wang
Keyword(s):  
Information Fusion ◽  
Decision Model ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Subsidy Policy ◽  
Urban Rail ◽  
Fusion Theory ◽  
Internet Of Things Technology ◽  
The Internet Of Things ◽  
Financial Subsidy

The Internet of things technology provides a new model for reference for information fusion. Based on information fusion theory and methods for relative basic data fusion, established the urban rail transit financial subsidy decision model by using the marginal cost method, which assist to decide the urban rail transit finance subsidy policy.

scholarly journals Assessing Customer Satisfaction of Urban Rail Transit Network in Tianjin Based on Intuitionistic Fuzzy Group Decision Model

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Yuning Wang ◽  
Zhe Zhang ◽  
Hui Sun
Keyword(s):  
Customer Satisfaction ◽  
Decision Model ◽  
Group Decision ◽  
Urban Rail Transit ◽  
Fuzzy Entropy ◽  
Rail Transit ◽  
Satisfaction Level ◽  
Intuitionistic Fuzzy ◽  
Urban Rail ◽  
Intuitionistic Fuzzy Entropy

Urban rail transit has played an important role in big and crowded cities. Providing services with high levels of customer satisfaction is essential in order to increase the sharing rate of urban rail transit and to reduce traffic congestion by shifting people away from private car use. Therefore, it is of great significance to improve the customer satisfaction of urban rail transit. This paper presents an intuitionistic fuzzy group decision model to evaluate the customer satisfaction of urban rail transit. An evaluation indicator system including seven categories of indicators is established to measure passengers’ satisfaction. The overall customer satisfaction level of the urban rail transit lines is obtained by the intuitionistic fuzzy entropy and intuitionistic fuzzy weighted average (IFWA) operator. The intuitionistic fuzzy entropy is used to solve attribute weights and IFWA operator is used to solve the information aggregation. Drawing on Tianjin urban rail transit lines as a case study, the detailed analyses were conducted to evaluate the overall customer satisfaction level of five urban rail transit lines and as such suggesting remedy strategies. The results can help urban rail transit operation company to improve the service quality of urban rail transit.

Influence of Built Environment on Urban Rail Transit Connection Mode

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Zhao Gao ◽  
Min Yang ◽  
Guoqiang Li ◽  
Jinghua Tai
Keyword(s):  
Built Environment ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Urban Rail
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