Method for Urban Rail Transit Project Financing Decision-Making Based on Triangular Fuzzy Number

Author(s):  
L. L. Yuan ◽  
Y. S. Wang ◽  
Y. Sun
2020 ◽  
Vol 12 (22) ◽  
pp. 9734
Author(s):  
Baofeng Sun ◽  
Jiaojiao Liu ◽  
Junyi Hao ◽  
Xiuxiu Shen ◽  
Xinhua Mao ◽  
...  

The networked operation of Urban Rail Transit (URT) brings the new challenge of network-wide maintenance. This research focuses on the URT Network-Wide Maintenance Decision-Making Problem (URT-NMDP), including regionalized maintenance network design and maintenance resource allocation. In this work, we proposed a bi-objective integer programming model that integrates the characteristics of set coverage and P-median models, resulting in the regionalized maintenance network design model. Some critical factors are considered in the model, such as the importance of node, the maximum failure response time, and maintenance guarantee rules. We designed a NSGA-II based algorithm to solve the model. Moreover, due to the uncertainty of failures in the URT network, we developed the method of allocating maintenance resources based on Monte Carlo simulation to strengthen the reliability of the regionalized maintenance network. With the model and algorithm presented in this work, we obtained Pareto optimal solutions of URT-NMDP, i.e., URT network-wide maintenance planning schemes, which include the number and location of maintenance points, the allocation of demand points, and the amount of maintenance units. Finally, a real-world case is studied to evaluate the operating performance of these schemes for verifying the method in our paper. The results of the case study demonstrate that the reasonable and tested-in-practice maximum failure response time is the precondition for the efficient URT maintenance network. The maintenance scheme considered the weighted importance of node shows the optimal performance, with the shortest overall maintenance path and the minimum average failure response time and investment cost on maintenance resources.


2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Yuning Wang ◽  
Yingzi Liang ◽  
Hui Sun

The decision-making for urban rail transit emergency events takes an important role in both reducing the losses caused by disasters and ensuring the safety of passengers. For the rainstorm emergency decision-making without certain scenario prediction information, considering the characteristic that the predisaster prevention measures will influence the effect of in-process countermeasures, this paper aimed to analyze the whole process scenarios for the occurrence, evolution, and development of rainstorm disaster in urban rail transit by considering the regret aversion of the decision makers. An emergency decision-making method for the beforehand-ongoing two stages rainstorm emergencies was developed to assess the emergency decision-making of urban rail transportation in different rainfall flood scenarios. Besides, the utilities and application costs of the emergency plans are also considered when defining the optimal emergency decision-making. This paper purposes the emergency decision-making model based on regret theory to define the optimal predisaster prevention method and ongoing responding measure for different disaster scenarios. Taking the Tianjin rail transportation as an example, this paper defines the optimal emergency decision-making to respond typhoon “Lekima.” The results show that if this method can be implemented in the rail transportation rainstorm disaster emergency responding and relevant disaster prevention management, then the reliability and risk responding capability of public transportation service can both be improved.


2011 ◽  
Vol 228-229 ◽  
pp. 519-525
Author(s):  
Hong Yan Yan ◽  
Fei Lian Zhang

Aiming at the evaluation and optimization of urban rail transit network scheme, the optimization decision-making model based on group TOPSIS was advanced in this paper. The multi-attribute evaluation index system of urban rail transit network was established. Then the decision-making’s position matrix and the attribute weights were determined using the idea of group decision-making on the basis that group rationality was guaranteed , which aimed at the phenomenon that preference of decision-making existed and the reduction of decision-maker’s preference had influence on the result of decision-making. The network scheme was ranked based on TOPSIS method to arrive at a decision. The example in this paper has verified the effectiveness and practicability of the model.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yuning Wang ◽  
Yingzi Liang ◽  
Hui Sun ◽  
Yufei Yang

Fire emergency response of urban rail transit is a complex multiattribute risk decision-making problem. In emergency response analysis, it is necessary to consider the psychological behaviors of decision-makers such as reference dependence, loss aversion, and judge distortion. Applying different emergency plans can intervene the development and evolution of urban rail emergency fire and may even result in different levels of casualties and property losses. For this situation, this paper proposes an emergency response decision-making method based on prospect theory. First, according to the prospect theory, this paper quantitatively describes the comprehensive psychological perception of decision-makers for casualties and property losses in different situations. Then, the psychological perception of decision-makers for the important levels of different situations is calculated. Third, according to the situation comprehensive values, situation weights, and the cost inputs of emergency plans, the comprehensive prospect values of each emergency plan are calculated, and the fire emergency plans can be ranked based on comprehensive prospect value. At last, the fire emergency disposal of Tianjin rail transportation line 3 is considered as the background in this paper. The feasibility and effectiveness of the purposed method is illustrated through the case study.


2015 ◽  
Vol 9 (1) ◽  
pp. 255-261 ◽  
Author(s):  
Liangliang Yuan ◽  
Yousong Wang ◽  
Cui Yao ◽  
Yang Sun

Financing behavior, based on the financing decision made by the owner of urban rail transit projects, will directly affect the capital cost of its operation and the construction schedule of the project. This paper intended to combine financing demand and financing options with the project construction schedule, quality and investment management, and based on DEMATEL methodology, to identify and sort the factors that constraining the financing behavior and financing structure in rail transit financing and then systematically analyze them. On this basis, the paper kept “Fund Timely Raised and Cost Lowest” as the objective and proposed an optimum framework in response to the financing structure under multi factors.


2014 ◽  
Vol 587-589 ◽  
pp. 1862-1866
Author(s):  
Ying Wang ◽  
Kuan Min Chen

A comprehensive evaluation system was proposed in terms of operational effect, network structure, social benefits, strategic development and implementation. The indicators layer was taken as the index set, and the network programs were taken as the domain set to establish the original decision-making matrix. The comprehensive weights of the indexes were determined by the AHP and Entropy Method, with giving full consideration to the expert knowledge and experience, as well as data itself implies. Also, the weighted normalized decision-making was constructed. The positive and negative ideals were determined based on the TOPSIS, the pros and cons of the line networks were determined by calculating the degree of closeness of the programs to the negative ideal solution. This method was applied to Xi’an urban rail transit network planning. The result shows that this method has a better application prospect for its simple calculation and scientific decision.


Transport ◽  
2019 ◽  
Vol 34 (1) ◽  
pp. 9-18
Author(s):  
Wenfei Bai ◽  
Rengkui Liu ◽  
Ru An ◽  
Futian Wang ◽  
Quanxin Sun

Decision-making surrounding asset renewal is essential for the efficient use of renewal resources and safe operation of urban rail transit. In this study, major problems in the current management of urban rail industries in countries with the same problems as those in China were analysed, and in response, a renewal management framework based on service life estimation was proposed to provide adequate decision-making support for urban rail transit assets. In this framework, the cumulative failure frequency of an asset is used to indicate its health condition, and considering the uncertainties and heterogeneities in the deterioration process of assets, a Poisson–Weibull process model-based methodology was developed to estimate the service and residual lives of each asset, which are then employed in analysing its renewal demand and renewal period. Finally, the model is validated through an empirical study of rail renewal in the Beijing Metro. Our evaluation demonstrates that the proposed framework can estimate each asset’s service life accurately and can be used by asset management personnel to establish reasonable renewal plans and provide decision-making support for a scientifically informed resource allocation, thus mitigating major problems in current management practices.


2011 ◽  
Vol 94-96 ◽  
pp. 664-667
Author(s):  
Xing Ju Wang ◽  
Xiao Ming Xi ◽  
Gui Feng Gao ◽  
Jin Jie Chen

This study develops a blocked cost model of urban rail transit, which is applied to determine laying mode of urban rail transit. In addition, this model focuses on the laying mode choice of urban rail transit by using quantitative analysis, which is previously discussed by using qualitative analysis. The case of Line No. 1 of Shijiazhuang urban rail transit is given to demonstrate the blocked cost. The results show that the cost of urban rail transit on the ground is 0.372 billion RMB per km and the cost of urban rail transit underground is 1.79 billion RMB per km. The mode on the ground is the best solution due to its low cost. But by analyzing and evaluating generalized cost in which blocked cost has been considered, the mode of urban railway transit underground is the best choice due to 1.79 billion RMB per km compared to 1.91 billion RMB per km on the ground.


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