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Wencheng Huang

Researcher at Southwest Jiaotong University

Publications -  31
Citations -  461

Wencheng Huang is an academic researcher from Southwest Jiaotong University. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 7, co-authored 22 publications receiving 187 citations.

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Using entropy-TOPSIS method to evaluate urban rail transit system operation performance: The China case

TL;DR: An entropy-Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Method to evaluate the urban rail transit system’s operation performance from the operator's, passenger's and government's perspectives is formulated.
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Historical data-driven risk assessment of railway dangerous goods transportation system: Comparisons between Entropy Weight Method and Scatter Degree Method

TL;DR: The results of case study by using China data show that the SDM is more stable than EWM; sub-risk indicators with highest ranks belong to risk factors of Human category, which means the Human unsafe actions and behaviors are the most dangerous factors that influence the normal and safe operations of RDGTS.
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A systematic railway dangerous goods transportation system risk analysis approach: The 24 model

TL;DR: In this paper, a human-oriented and organization-oriented risk analysis model is proposed to analyze the risk in railway dangerous goods transportation system (RDNGTS), and the analysis results of the case study show that the accident happened because of the dynamic and nonlinear interaction among the risk factors.
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Fault Tree and Fuzzy D-S Evidential Reasoning combined approach: An application in railway dangerous goods transportation system accident analysis

TL;DR: The results show that professional skills and attitudes of transportation staffs are the weakest component in this lithium battery railway transportation accident and D-S Evidential Reasoning could provide a unified modeling framework for uncertain, incomplete, inaccurate and even ignorant information.
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Using the disaster spreading theory to analyze the cascading failure of urban rail transit network

TL;DR: A new dynamic model to formulate the cascading failure in the urban rail transit network based on the disaster spreading theory shows that, the failed stations number has the greatest scale when fixed transfer stations are attacked.