A Decision Making Model of Laying Mode of Urban Rail Transit

2011 ◽  
Vol 94-96 ◽  
pp. 664-667
Author(s):  
Xing Ju Wang ◽  
Xiao Ming Xi ◽  
Gui Feng Gao ◽  
Jin Jie Chen
Keyword(s):  
Decision Making ◽  
Quantitative Analysis ◽  
Cost Model ◽  
Low Cost ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Urban Rail ◽  
The Cost ◽  
Decision Making Model ◽  
Generalized Cost

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.

scholarly journals Maintenance Decision-Making of an Urban Rail Transit System in a Regionalized Network-Wide Perspective

2020 ◽  
Vol 12 (22) ◽  
pp. 9734
Author(s):  
Baofeng Sun ◽  
Jiaojiao Liu ◽  
Junyi Hao ◽  
Xiuxiu Shen ◽  
Xinhua Mao ◽  
...  
Keyword(s):  
Decision Making ◽  
Response Time ◽  
Network Design ◽  
Programming Model ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Nsga Ii ◽  
Transit System ◽  
Urban Rail ◽  
Maintenance Decision

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.

scholarly journals A Regret Theory-Based Decision-Making Method for Urban Rail Transit in Emergency Response of Rainstorm Disaster

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Yuning Wang ◽  
Yingzi Liang ◽  
Hui Sun
Keyword(s):  
Decision Making ◽  
Public Transportation ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Rail Transportation ◽  
Regret Theory ◽  
Prevention Measures ◽  
Urban Rail ◽  
Emergency Decision Making ◽  
Emergency Decision

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.

scholarly journals Estimation Method of Path-Selecting Proportion for Urban Rail Transit Based on AFC Data

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Feng Zhou ◽  
Jun-gang Shi ◽  
Rui-hua Xu
Keyword(s):  
Travel Time ◽  
Estimation Method ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Time Data ◽  
Travel Time Data ◽  
Urban Rail ◽  
Distribution Parameters ◽  
The Cost ◽  
Walking Time

With the successful application of automatic fare collection (AFC) system in urban rail transit (URT), the information of passengers’ travel time is recorded, which provides the possibility to analyze passengers’ path-selecting by AFC data. In this paper, the distribution characteristics of the components of travel time were analyzed, and an estimation method of path-selecting proportion was proposed. This method made use of single path ODs’ travel time data from AFC system to estimate the distribution parameters of the components of travel time, mainly including entry walking time (ewt), exit walking time (exwt), and transfer walking time (twt). Then, for multipath ODs, the distribution of each path’s travel time could be calculated under the condition of its components’ distributions known. After that, each path’s path-selecting proportion can be estimated. Finally, simulation experiments were designed to verify the estimation method, and the results show that the error rate is less than 2%. Compared with the traditional models of flow assignment, the estimation method can reduce the cost of artificial survey significantly and provide a new way to calculate the path-selecting proportion for URT.

Research on Group Decision-Making Optimization Model of Urban Railway Traffic Network Scheme

2011 ◽  
Vol 228-229 ◽  
pp. 519-525
Author(s):  
Hong Yan Yan ◽  
Fei Lian Zhang
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Network ◽  
Attribute Weights ◽  
Railway Traffic ◽  
Urban Rail ◽  
Urban Rail Transit Network

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.

scholarly journals Decision-Making for Fire Emergency of Urban Rail Transit Based on Prospect Theory

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yuning Wang ◽  
Yingzi Liang ◽  
Hui Sun ◽  
Yufei Yang
Keyword(s):  
Decision Making ◽  
Prospect Theory ◽  
Emergency Response ◽  
Urban Rail Transit ◽  
Decision Makers ◽  
Response Analysis ◽  
Rail Transit ◽  
Emergency Plans ◽  
Urban Rail ◽  
Property Losses

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.

Comprehensive Evaluation for Urban Rail Transit Network Based on TOPSIS Model

2014 ◽  
Vol 587-589 ◽  
pp. 1862-1866
Author(s):  
Ying Wang ◽  
Kuan Min Chen
Keyword(s):  
Decision Making ◽  
Evaluation System ◽  
Expert Knowledge ◽  
Comprehensive Evaluation ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Index Set ◽  
Transit Network ◽  
Urban Rail ◽  
Urban Rail Transit Network

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.

Analysis of Passenger Queuing Behavior on Urban Rail Transit Platform during Rush Hour

2013 ◽  
Vol 361-363 ◽  
pp. 1927-1932 ◽  
Author(s):  
Ying Zhang ◽  
Rui Song ◽  
Na Hao
Keyword(s):  
Quantitative Analysis ◽  
Decision Process ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Behavior Theory ◽  
Operation Efficiency ◽  
Urban Rail

Analyzing the passengers queuing behavior is powerful support of subway operation efficiency developing. Based on the three level pedestrian micro behavior theory, the decision process of passenger queuing behavior on urban rail transit platform is analyzed. The frame of passenger queuing behavior survey is put forward. The survey plan is designed. Finally, the quantitative analysis is performed which is on passengers queue selection, the time during the waiting and boarding stage.

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