Empirical Analysis on the Risk Factors of Total Repurchase Price in BT Project of Urban Rail Transit

2013 ◽  
Vol 357-360 ◽  
pp. 2890-2895
Author(s):  
Li Ming Xia ◽  
Le Sun
Keyword(s):  
Risk Factors ◽  
Cluster Analysis ◽  
Empirical Analysis ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Rail Transportation ◽  
Factors Affecting ◽  
Urban Rail

Through the identification of the risk factors affecting the total repurchase price in BT project of the urban rail transit, we obtain data by questionnaires and make cluster analysis on all risk variables.Then select the key risk factors that affect total repurchase price,which play a guiding role for controlling the total repurchase price in the BT project of urban rail transportation.

Ticket Income Distribution of Urban Rail Transit in Network Operating Condition

2011 ◽  
Vol 243-249 ◽  
pp. 4375-4380
Author(s):  
Yuan Chun Huang ◽  
Jian Li ◽  
Haize Pan
Keyword(s):  
Income Distribution ◽  
Urban Rail Transit ◽  
Ratio Method ◽  
Rail Transit ◽  
Matching Algorithm ◽  
Factors Affecting ◽  
Urban Rail ◽  
Set Up ◽  
Urban Rail Transit Network ◽  
Factor Matching

Through analyzing the factors affecting passengers’ path-choice, the corresponding principles and rules of the ticket income distribution are put forward and the new model of the Urban Rail Transit Network in Beijing is set up in the paper. Through the deformation of the urban rail transit and the simplification of the lines, the topology of the urban rail transit lines is abstracted into an undirected connection graph. Breadth-priority optimization algorithm is applied to search the effective paths between the OD and the flow-matching ratio is acquired by calculating based on multi-factor matching algorithm, in which many relevant numerical examples are analyzed to verify the feasibility of the dual-ratio method and to summarize the characteristics of the project.

scholarly journals Study on level-of-service for urban rail transit passages from the passenger perspective

2021 ◽  
Vol 283 ◽  
pp. 02041
Author(s):  
Yibing Chen ◽  
Xiao Liang ◽  
Yizhuo Fu
Keyword(s):  
Public Transportation ◽  
Orthogonal Experiment ◽  
Reliability And Validity ◽  
Service Level ◽  
Urban Rail Transit ◽  
Classification Method ◽  
Rail Transit ◽  
Factors Affecting ◽  
Passenger Satisfaction ◽  
Urban Rail

With the acceleration of urbanization and the shortage of transportation resources in large cities, urban rail transit has gradually become the backbone of urban public transportation system. In order to improve the service level of urban rail transit, this paper studies the factors influencing the service level of subway station passages and the classification method based on the passenger-perception method. Through investigation and research, the passage service level evaluation indicators (width, walking time, per capita area, illumination intensity and guide signage) have been determined. Based on orthogonal experiment, 3ds max was used to set up 25 passage scenes with different parameters from passengers' perspective. A passenger satisfaction questionnaire was designed and distributed, the reliability and validity of the questionnaire were tested to ensure the validity of the data. And based on the factor analysis method, the factors affecting passenger perception are analyzed. A well-fitting model of the relationship between passenger scores and passage parameters is established, and the passenger scores are converted into service levels. Finally, a service level classification method is given, which can provide reference for the service level evaluation of existing stations and the design of physical attributes and environmental factors of new station passages.

scholarly journals RANDOM COEFFICIENT MODELING RESEARCH ON SHORT-TERM FORECAST OF PASSENGER FLOW INTO AN URBAN RAIL TRANSIT STATION

Transport ◽  
2016 ◽  
Vol 31 (1) ◽  
pp. 94-99 ◽  
Author(s):  
Xuesong Feng ◽  
Hemeizi Zhang ◽  
Tiantian Gan ◽  
Qipeng Sun ◽  
Fei Ma ◽  
...  
Keyword(s):  
Estimation Procedure ◽  
Random Coefficient ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Short Term ◽  
Metro Station ◽  
Factors Affecting ◽  
Urban Rail ◽  
Passenger Flows ◽  
Transit Station

Taking a representative metro station in Beijing as example, this research has newly developed a random coefficient model to predict the short-term passenger flows with sudden increases sometimes into an urban rail transit station. The hierarchical Bayesian approach is iteratively applied in this work to estimate the new model and the estimation outcomes in each of the iterative calibrations are improved by sequential Bayesian updating. It has been proved that the estimation procedure is able to effectively converge to rational results with satisfying accuracies. In addition, the model application study reveals that besides sufficient preparations in manpower, devices, etc.; the information of the factors affecting the passenger flows into an urban rail transit station should be timely transferred in advance from important buildings, road intersections, squares and so on in neighborhood to this station. In this way, this station is able to cope with the unexpectedly sharp increases of the passenger flows into the station to ensure its operation safety.

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 Research on the Development of Rail Transit Based on Cluster Analysis

2021 ◽  
Vol 261 ◽  
pp. 03023
Author(s):  
Guoling Lang
Keyword(s):  
Cluster Analysis ◽  
Euclidean Distance ◽  
Transportation Network ◽  
Reference Value ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Passenger Transport ◽  
Urban Rail ◽  
Passenger Volume ◽  
Transfer Stations

This article analyzes the current development status of rail transit in various cities in China. Most cities are still dominated by subways. Then the relevant data is processed to obtain the linear relationship between transfer stations and rail mileage, rail stations and summarize the domestic rail Establish quantitative standards and conclude that rail transit has not yet become a transportation network. Then use the five indicators of line mileage, number of stations, number of interchange stations, average daily passenger volume, and passenger transport intensity to cluster the domestic urban rail transit using the method of cluster analysis, combining spatial Euclidean distance and compactness and other indicators Analysis, the classification results obtained have certain reference value.

scholarly journals Risk Assessment of Urban Rail Transit Project Using Interpretative Structural Modelling: Evidence from China

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yuan Gao ◽  
Chun Kit Lau
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Analysis Method ◽  
Prevention Measures ◽  
Logical Relationship ◽  
Urban Rail ◽  
Structure Relationship ◽  
And Control

Public-private partnership (PPP) projects require comprehensive risk assessment and management, including Urban Rail Transit (URT). A more effective risk management can benefit from an accurate understanding of the two-way influence of PPP project risk factors. This paper uses the content analysis method to filter out, compare, and analyze PPP-related literature; 12 categories of 22 PPP risk factors are extracted and identified, and the possible correlations between these risk factors are judged preliminarily. With the knowledge and advice provided by PPP experts, the initial risk relationships are adjusted and supplemented, which then help to determine a reasonable logical relationship among risk factors. The logical relationship helps analyze the risk factors based on the ISM model analysis method and builds a hierarchical structure relationship of risk factors including 6 levels. Finally, the direct, intermediate, and autonomous factors that lead to problems or failures in PPP projects are analyzed which explains in detail the paths of risk transmission and risk prevention measures of PPP companies operating URT. It lays a foundation for PPP project companies operating URT to recognize, manage, and control risks in a targeted and systematic manner.

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