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It is necessary to evaluate the transport-capacity load of urban-rail-transit projects under planning, construction and operation, so as to strengthen planning construction and guard against government-debt risks. The evaluation on planned transportation capacity load is a multi-level, multi-index fuzzy evaluation problem. According to the latest "Specification of Transport Load Assessment for Urban Rail Transit" released by the Ministry of Transport, an evaluation index system for urban rail transit station capacity load has been constructed from five aspects: platform load degree, building support gradient load degree, transfer channel load degree, security inspection equipment load degree, and gate load degree. An improved entropy weight method is proposed for the first time to determine indicator weights, variable fuzzy set theory is used to determine indicator membership degrees, and a coupled metric evaluation model is used to determine the vector of transportation load degree. Taking Dongjiaoxiaozhen Station on the S3 East Extension Line of Nanjing Metro as an example for illustration. The coupling measurement evaluation considers that the relevant indicators are not independent of each other, and a single evaluation indicator may affect other factors and ultimately affect the results of the capacity load assessment. Theoretical analysis and practical calculations show that this method has good applicability in the assessment of urban rail transit planning capacity load.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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