Institute of Transport Economics, Xinjiang Railway Survey and Design Institute Co. , Ltd. , China Railway First Survey and Design Institute, Urumqi 830011, Xinjiang, China
The post-evaluation content of the railway projects is of great significance to the quality feedback of railway survey and design departments in the early stage of research. In view of the overemphasis of most survey and design departments in China on the pre-project evaluation with inadequate regard to post-evaluation after the railway is opened for operation, by abstracting the main influencing factors in railway construction projects, a three-level system of post-project evaluation indicators was constructed in this paper. Through experts' visit, the three-level index value of the project chief's evaluation of the current operation after the project opening for operation was obtained. According to the three-level evaluation index value, combined with the entropy weight method, the post-evaluation problem of the railway project research object was analyzed by using the multi-level fuzzy comprehensive evaluation method. Based on the method proposed, taking the Ruoqiang-Hetian Railway already in operation in Xinjiang as an example, and combined with the previous research results and current operation, the feasibility and rationality of applying the fuzzy comprehensive evaluation method based on entropy weight to the economic post-evaluation of railway projects were verified. The evaluation results can be used as a reference for the future work of survey and departments engaged in design and operation.
GAOHaitao, YANGMingyu, MENGLingyun,et al. A Study on High Speed Railway Safety Risks based on AHP and Entropy Weight Method[J].Railway Transport and Economy,2018,40(3):85-90.
CHENHongbing, WANGDuohong.Evaluation of Cross-Line Operation Effect of Urban Rail Transit Based on AHP-Entropy Weight-Extension Cloud Model[J].Railway Transport and Economy,2023,45(2):118-125.
ZHUXiaoning, XIJiangyue.Study on Location of Intercity Railway Passenger Station Based on Entropy Weighting-TOPSIS[J]. Railway Transport and Economy,2013,35(10):32-36.
WANGDezhan, LIXuefei, LANGMaoxiang. Application of Fuzzy Comprehensive Evaluation on Optimization and Integration of Railway Special Lines[J]. Railway Transport and Economy,2011,33(1):22-26.
PANZhenxing, HANFeng.Study of Xinjiang Railway Network Expansion Pattern Based on Entropy Grey Relational Method[J].Railway Transport and Economy,2021,43(3):16-24.
WUZhongkai, LUYu, YINChuanzhong,et al.Study on the Mode of Railway Industrial Siding Construction and Operation Based on Fuzzy Comprehensive Evaluation[J].Railway Transport and Economy,2017,39(4):53-57.
ZHANGFeilian, CHENTao, SHIFeng. Stochastic Evaluation Method on Financial Post-Evaluation of Railway Construction Project[J]. Journal of Traffic and Transportation Engineering,2003,3(3):36-39.
NIShenhai, BAIYuhui.Application of BP Neural Network Model in Groundwater Quality Evaluation[J].Systems Engineering-Theory & Practice,2000,20(8):124-127.
XUEYanyu. Research and Practice of Post-Project Evaluation Based on Multi-level Fuzzy Comprehensive Evaluation Method[J].Computer & Digital Engineering,2022,50(4):730-735.
DUANXiaochen, QIANRui, XUDa. Study on System Dynamics Evaluation Method of Water,Plant and Animal Environment in High Speed Railway Area[J].Journal of the China Railway Society,2022,44(8):178-186.
LILijun, CHANGYuanyuan, JIAShulin.Comprehensive Benefit Analysis of “Shifting Freight Traffic from Road to Railway” in Tianjin[J].Railway Transport and Economy,2023,45(1):82-87.
[27]
CHENF F, DUANY G, WANGW F. Application of Neural Network and Fuzzy Mathematic Theory in Evaluating the Adaptability of Inflow Control Device in Horizontal Well[J]. Journal of Petroleum Science and Engineering,2015(134):131-142.
[28]
YUH, ZHANGK. Fuzzy Mathematics Theory in Logistics Center Address Selection of Application[J]. Advanced Materials Research,2014,989(994):5555-5558.