Research on Evaluation of Adaptability between Transport Capacity and Passenger Flow Demand in Urban Rail Transit

Tian, Wan-Qi

doi:10.1109/ictle55577.2022.9902087

Cited by 1 publication

(1 citation statement)

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“…The station level is evaluated by comparing the relationship between cross-sectional passenger flow and inbound-outbound passenger flow. Then, a multi-capacity matching degree evaluation model is established based on entropy-weight-TOPSIS [2]. Some scholars establish evaluation models including two-dimensional indicators of load mean and standard deviation rate.…”

Section: Introductionmentioning

confidence: 99%

A comprehensive evaluation method of urban rail transit operation plan based on G1 and anti-EWM

Zhao

Zhang

et al. 2023

3rd International Conference on Internet of Things and Smart City (IoTSC 2023）

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With the urban rail network tends to be more complex, the contradiction between capacity and passenger demand becomes more prominent. To address this problem, this paper constructs a comprehensive evaluation method for train capacity delivery scheme, which can quantitatively analyze the matching relationship between capacity and passenger demand. It can provide guidance for the development of operation plans. The evaluation indices are selected from three aspects: operation, service, and enterprise cost, among which the operation indices are selected considering the characteristics of section, route, and line network respectively. Combined with the ordering relation analysis method (G1) and the anti-entropy weight method (anti-EWM), a comprehensive evaluation model from the perspective of subjective and objective is developed, the model can reasonably allocate capacity under limited conditions and alleviate the contradictory relationship between passenger demand and capacity. In addition, the model can improve the operation level and the service quality. Furtherly, the comprehensive scoring of Nanjing Metro Network is conducted with better evaluation effect, which can provide reference for the selection of capacity delivery.

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Section: Introductionmentioning

confidence: 99%