scholarly journals Operation Performance Evaluation of Urban Rail Transit PPP Projects: Based on Best Worst Method and Large-Scale Group Evaluation Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Yuning Wang ◽  
Yingzi Liang ◽  
Cong Li ◽  
Xinyuan Zhang
Keyword(s):  
Performance Evaluation ◽  
Evaluation System ◽  
Large Scale ◽  
Project Performance ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Operation Performance ◽  
Group Evaluation ◽  
Urban Rail ◽  
Best Worst Method

Urban rail transit project is a kind of typical operating public project. Adopting the PPP model can alleviate local financial pressure and improve capital use efficiency. However, many existing urban rail transit PPP projects have fallen into the dilemma of cost overrun, schedule delay, and poor product quality. The lack of reasonable project performance evaluation is considered as an important cause. This research first clarifies the meaning and characteristics of project performance evaluation by comparing and analyzing several basic concepts and relationships. Secondly, an operation performance evaluation system based on urban rail transit PPP project of a three party is constructed from a multistakeholder perspective. Finally, the best worst method and large-scale group evaluation technology are used based on the comparison of multistakeholder evaluation application scenarios and evaluation methods. A quantitative model is constructed to evaluate the operating performance of urban rail transit PPP projects and is tested and explained by a specific case study. Most current studies generally focus on the earlier stage of project performance, and this article mainly discusses and researches the operation performance of PPP projects. There, suggestions are provided for the operation performance evaluation theory and urban rail transit PPP project practices. This article focuses on the operation performance evaluation of PPP projects.

Research on Hyperpaths in the Urban Rail Transit Network

2014 ◽  
Vol 488-489 ◽  
pp. 1439-1443
Author(s):  
Jin Hai Li ◽  
Jian Feng Liu
Keyword(s):  
Large Scale ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Network ◽  
Travel Costs ◽  
Urban Rail ◽  
Distinctive Structure ◽  
Feasible Path ◽  
Definition Of ◽  
Urban Rail Transit Network

Hyperpaths enumeration is one of the basic procedures in many traffic planning issues. As a result of its distinctive structure, hyperpaths in Urban Rail Transit Network (URTN) are different from those in road network. Typically, one may never visit a station more than once and would never transfer from one line to another that has been visited in a loopless URTN, meaning that stations a hyperpath traversed cannot be repeated, neither do lines in loopless networks. This paper studies the relationships between feasible path and the shortest path in terms of travel costs. In this paper, a new definition of hyperpath in URTN is proposed and a new algorithm based on the breadth first searching (BFS) method is presented to enumerate the hyperpaths. The algorithm can safely avoid hyperpath omission and can even be applied in networks containing loops as well. The influence of parameters on hyperpaths is studied by experimentally finding hyperpaths in the subway network in Beijing. A group of suggested parameter pairs are then given. Finally, a numerical experiment is used to illustrate the validity of the proposed algorithm. The results imply the significance of the convergence of the BFS algorithm which can be used to search hyperpaths in large scale URTN even with loop.

scholarly journals Dynamic Disruption Simulation in Large-Scale Urban Rail Transit Systems

2019 ◽  
pp. 129-140
Author(s):  
Steffen O. P. Blume ◽  
Michel-Alexandre Cardin ◽  
Giovanni Sansavini
Keyword(s):  
Large Scale ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Systems ◽  
Urban Rail

Assessment Method for Dynamic Impact of Large Passenger Flow on Urban Rail Transit Network: A Case Study on Chengdu East Railway Station

2021 ◽  
pp. 036119812110584
Author(s):  
Ruihua Xu ◽  
Xuyang Song ◽  
Fangsheng Wang ◽  
Feng Zhou
Keyword(s):  
Radionuclide Imaging ◽  
Large Scale ◽  
Clinical Medicine ◽  
Propagation Model ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Railway Station ◽  
Passenger Flow ◽  
Urban Rail ◽  
The Impact

Large-scale activities, holidays, and emergencies often cause a significantly large burst of passenger flow demand in some urban rail transit (URT) stations in a short time, called large passenger flow (LPF). The LPF will propagate through the entire URT network of the city. The impact of the frequent occurrence of LPF on network service levels is crucial and unpredictable. This article describes an analysis of how this LPF propagates through the entire network inspired by how radionuclide imaging is done in clinical medicine. In this study, with LPF of URT as the research object, a propagation model of LPF in URT based on AFC data, train operation data, and URT network topology data was developed, which was inspired by the concept of radionuclide imaging in clinical medicine. In the condition of obtaining the list of passenger route selection ratios, the dynamic propagation state matrix of the LPF in the network is solved. The contribution value matrix of the LPF was proposed to evaluate the impact of the LPF on the URT network. Considering the LPF in Chengdu East Railway Station, China, as an example, the propagation effect of LPF in the Chengdu Metro network was analyzed, and the effectiveness of the proposed model was confirmed.

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