Simulation-Based Optimization of Transport Efficiency of an Urban Rail Transit Network

It has been proven that developing urban rail transit (URT) is the key to solving the traffic problems in big cities, and transport efficiency is essential for scientific line planning and construction, operation management and sustainable development of urban rail transit. This paper focuses on the...

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Main Authors: Liyu Wang, Fang Lu, Baoming Han, Qi Zhang, Chen Zhang
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/3/1471
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author Liyu Wang
Fang Lu
Baoming Han
Qi Zhang
Chen Zhang
author_facet Liyu Wang
Fang Lu
Baoming Han
Qi Zhang
Chen Zhang
author_sort Liyu Wang
collection DOAJ
description It has been proven that developing urban rail transit (URT) is the key to solving the traffic problems in big cities, and transport efficiency is essential for scientific line planning and construction, operation management and sustainable development of urban rail transit. This paper focuses on the transport efficiency of the URT network and adopts shadow efficiency theory creatively to combine factors of passengers, capacity, and efficiency effectively. A quantitative calculation method of system utility based on “double time penalty” is proposed. According to the characteristics of Beijing URT, this paper puts forward a single optimization strategy and combinatorial optimization strategy and analyzes the results with DEA. The simulation of Beijing subway network proves the availability of the method and its optimization effects.
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spelling doaj.art-b327b1a13b63436cb39fc414ad1434182023-11-16T16:05:58ZengMDPI AGApplied Sciences2076-34172023-01-01133147110.3390/app13031471Simulation-Based Optimization of Transport Efficiency of an Urban Rail Transit NetworkLiyu Wang0Fang Lu1Baoming Han2Qi Zhang3Chen Zhang4School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaBeijing Baidu Netcom Science Technology Co., Ltd., Beijing 100085, ChinaIt has been proven that developing urban rail transit (URT) is the key to solving the traffic problems in big cities, and transport efficiency is essential for scientific line planning and construction, operation management and sustainable development of urban rail transit. This paper focuses on the transport efficiency of the URT network and adopts shadow efficiency theory creatively to combine factors of passengers, capacity, and efficiency effectively. A quantitative calculation method of system utility based on “double time penalty” is proposed. According to the characteristics of Beijing URT, this paper puts forward a single optimization strategy and combinatorial optimization strategy and analyzes the results with DEA. The simulation of Beijing subway network proves the availability of the method and its optimization effects.https://www.mdpi.com/2076-3417/13/3/1471urban rail transittransport efficiencynetwork operationoptimizationsimulationDEA analysis
spellingShingle Liyu Wang
Fang Lu
Baoming Han
Qi Zhang
Chen Zhang
Simulation-Based Optimization of Transport Efficiency of an Urban Rail Transit Network
Applied Sciences
urban rail transit
transport efficiency
network operation
optimization
simulation
DEA analysis
title Simulation-Based Optimization of Transport Efficiency of an Urban Rail Transit Network
title_full Simulation-Based Optimization of Transport Efficiency of an Urban Rail Transit Network
title_fullStr Simulation-Based Optimization of Transport Efficiency of an Urban Rail Transit Network
title_full_unstemmed Simulation-Based Optimization of Transport Efficiency of an Urban Rail Transit Network
title_short Simulation-Based Optimization of Transport Efficiency of an Urban Rail Transit Network
title_sort simulation based optimization of transport efficiency of an urban rail transit network
topic urban rail transit
transport efficiency
network operation
optimization
simulation
DEA analysis
url https://www.mdpi.com/2076-3417/13/3/1471
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AT qizhang simulationbasedoptimizationoftransportefficiencyofanurbanrailtransitnetwork
AT chenzhang simulationbasedoptimizationoftransportefficiencyofanurbanrailtransitnetwork