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Multi-Criteria Evaluation for Energy Consumption Quality of Urban Rail Transit Stations
Tongjun Guo, Baohua Mao, Huiwen Wang
42 - 51
10.3233/FAIA200044
Research Article
Frontiers in Artificial Intelligence and Applications
Volume 323: Information Technology and Intelligent Transportation Systems
Abstract

This study conducts investigations on the basic data of urban rail transit station energy consumption, analyzes the composition of urban rail transit station energy consumption, grasps the energy consumption differences of different types of stations, and establishes a tree structure evaluation system of energy consumption quality for metro stations. The system reflects the energy quality level of urban rail transit stations. Several stations of the Beijing Subway were taken as cases to analyze the energy quality characteristics of different types of stations under the evaluation system.

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