scholarly journals Sustainable Development of Urban Rail Transit Networks: A Vulnerability Perspective

2019 ◽  
Vol 11 (5) ◽  
pp. 1335 ◽  
Author(s):  
Jiangang Shi ◽  
Shiping Wen ◽  
Xianbo Zhao ◽  
Guangdong Wu
Keyword(s):  
Sustainable Development ◽  
Public Transportation ◽  
Fault Tolerant ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
The Sustainable Development ◽  
Transportation Services ◽  
Passenger Flow ◽  
Urban Rail ◽  
Key Nodes

Urban rail transit (URT) systems are critical to modern public transportation services. Unfortunately, disruptions in URT systems can lead to dysfunction and threaten sustainable development. This study analyses URT network sustainability from a vulnerability perspective. Two network attack scenarios, including random attacks and intentional attacks, are designed to assess different kinds of disruptions to URT networks. Under random attacks, nodes are randomly removed from the network. In contrast, under intentional attacks, key nodes are identified and removed based on topological metrics and passenger flow volume. Then, URT network vulnerability is evaluated by quantifying the changes in network efficiency and structural integrity under the network attacks from a spatio-temporal point of view. The real-world case of the Shanghai URT system from 1993 to 2020 is used to illustrate the vulnerability in the evolution of the URT system. The results indicate that the URT network is increasingly fault-tolerant and structurally robust over time. The URT network is more vulnerable to intentional attacks than to random failures. Additionally, there are significant spatial differences in the vulnerability of Shanghai URT network. Stations in the central activity zone (CAZ) are more fault-tolerant and robust than stations located outside of the CAZ. Furthermore, stations with large centrality and greater passenger flow volumes and lines with many key nodes and greater passenger flow volumes, are vulnerable to disruptions in the URT networks. This study provides a new index to comprehensively quantify node centrality; it also fills a research gap by analysing the vulnerability of URT networks based on both longitudinal and spatial patterns. Finally, this paper highlights significant practical implications for the sustainable development of URT networks, as well as the sustainable development of public transportation services.

scholarly journals Forecasting Passenger Flow Distribution on Holidays for Urban Rail Transit Based on Destination Choice Behavior Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Enjian Yao ◽  
Junyi Hong ◽  
Long Pan ◽  
Binbin Li ◽  
Yang Yang ◽  
...  
Keyword(s):  
Public Transportation ◽  
Choice Model ◽  
Flow Distribution ◽  
Urban Rail Transit ◽  
Destination Choice ◽  
Rail Transit ◽  
Efficient Operation ◽  
Passenger Flow ◽  
Urban Rail ◽  
Proposed Model

Passenger travel flows of urban rail transit during holidays usually show distinct characteristics different from normal days. To ensure efficient operation management, it is essential to accurately predict the distribution of holiday passenger flow. Based on Automatic Fare Collection (AFC) data, this paper explores the passengers’ destination choice differences between normal days and holidays, as well as one-way tickets and public transportation cards, which provides support for variable selection in modeling. Then, a forecasting model of holiday travel distribution is proposed, in which the destination choice model is established for representing local and nonlocal passengers. Meanwhile, explanatory variables such as land matching degree, scenic spot dummy, and level of service variables are introduced to deal with the particularity of holiday passengers’ travel behavior. The parameters calibrated by the improved weighted exogenous sampling maximum likelihood (WESML) method are applied to predict passenger flow distribution in different holiday cases with annual changes in the metro network, using the data collected from Guangzhou Metro, China. The results show that the proposed model is valid and performs better than the other comparable models in terms of forecasting accuracy. The proposed model has the capability to provide a more universal and accurate passenger flow distribution prediction method for urban rail transit in different holiday scenarios with network changes.

scholarly journals Research on the Impact of Urban Rail Transit on the Financing Constraints of Enterprises from the Perspective of Sustainability

2021 ◽  
Vol 13 (19) ◽  
pp. 10543
Author(s):  
Rong Yang ◽  
Linda Yin-nor Tjia ◽  
Matthias Finger
Keyword(s):  
Sustainable Development ◽  
Financial Development ◽  
Listed Companies ◽  
Urban Rail Transit ◽  
Financing Constraints ◽  
Rail Transit ◽  
Corporate Financing ◽  
The Sustainable Development ◽  
Urban Rail ◽  
A Share

Urban rail transit (URT) is closely related to the sustainable development of the city. In addition to the traffic improvements, it also brings social and economic benefits. From the perspective of sustainability, we discuss the effect of urban rail transit on financing constraints of companies listed on the China A-share stock market (A-share, common stocks issued by companies registered in China for domestic institutions, organizations or individuals to subscribe and trade in RMB) and further explore whether the level of financial development has an effect on the above relationship. The results show that: (1) Financing constraints are common among sample enterprises, and the later the opening year of urban rail transit, the greater the degree of financing constraints; (2) The development of urban rail transit is beneficial to alleviate the level of financing constraints of listed companies, and this mitigating effect mainly exists in the samples with high relevance to urban rail transit; (3) The higher the level of financial development, the smaller the degree of corporate financing constraints; (4) Financial development may influence the relationship between financing constraints and urban rail transit. With the improvement of the financial development level, the alleviating effect of urban rail transit on corporate financing constraints is less pronounced. This study gives some references to improve the financing constraints of listed companies and for promoting the sustainable development of urban rail transit.

Research on Sustainable Development Evaluation of Urban Rail Transit Investment Project Based on Rough Set

2011 ◽  
Vol 97-98 ◽  
pp. 596-600
Author(s):  
Rong Hua Hou ◽  
Fei Biao Bai ◽  
Jian Mei Zhu
Keyword(s):  
Sustainable Development ◽  
Rough Set ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Investment Project ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
The Sustainable Development ◽  
Urban Rail ◽  
Development Evaluation

The sustainable development evaluation of urban rail transit investment project is an important component of its post-evaluation. It is a complicated problem with multi-aspects, multi-levels, and multi-objectives involving the society, economy and environment and so on. Firstly it analyses the necessity of sustainable development evaluation of urban rail transit investment project and describes its concept, then discusses and expounds the multilevel evaluation index, and establishes the evaluation model of sustainable development for urban rail transit based on rough set and analytic hierarchy process. Finally, the result indicates that this evaluation method based on rough set is a simple and feasible method for the sustainable development evaluation on urban rail transit investment project.

Passenger Flow Forecast of Urban Rail Transit Based on Support Vector Regression

2013 ◽  
Vol 433-435 ◽  
pp. 612-616 ◽  
Author(s):  
Bin Xia ◽  
Fan Yu Kong ◽  
Song Yuan Xie
Keyword(s):  
Support Vector Regression ◽  
Risk Function ◽  
Urban Rail Transit ◽  
Support Vector ◽  
Rail Transit ◽  
Risk Minimization ◽  
Promising Alternative ◽  
Minimization Principle ◽  
Passenger Flow ◽  
Urban Rail

This study analyses and compares several forecast methods of urban rail transit passenger flow, and indicates the necessity of forecasting short-term passenger flow. Support vector regression is a promising method for the forecast of passenger flow because it uses a risk function consisting of the empirical error and a regularized term which is based on the structural risk minimization principle. In this paper, the prediction model of urban rail transit passenger flow is constructed. Through the comparison with BP neural networks forecast methods, the experimental results show that applying this method in URT passenger flow forecasting is feasible and it provides a promising alternative to passenger flow prediction.

Operation Organization at Urban Rail Transit Station under Large Passenger Flow

2012 ◽  
Vol 253-255 ◽  
pp. 1995-2000
Author(s):  
Qiao Mei Tang ◽  
Li Ping Shen ◽  
Xian Yong Tang
Keyword(s):  
Transport Process ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Common Condition ◽  
Urban Transit ◽  
Passenger Flow ◽  
Operation Process ◽  
Urban Rail ◽  
Transit Station ◽  
Transit Operation

large passenger flow is a common condition of urban transit operation, and the station bears the pressure of large passenger flow directly. This paper analyzes the reason for the appearance of large passenger flow and the characteristics of it, discusses the principles and methods that the station can apply under large passenger flow combined with the passenger’s transport process and the operation process.

Collaborative passenger flow control of urban rail transit network considering balanced distribution of passengers

2021 ◽  
pp. 2150461
Author(s):  
Xiang Li ◽  
Yan Bai ◽  
Kaixiong Su
Keyword(s):  
Flow Control ◽  
Programming Model ◽  
Flow Characteristics ◽  
Service Level ◽  
Urban Traffic ◽  
Urban Rail Transit ◽  
Control Measures ◽  
Rail Transit ◽  
Passenger Flow ◽  
Urban Rail

The increase of urban traffic demands has directly affected some large cities that are now dealing with more serious urban rail transit congestion. In order to ensure the travel efficiency of passengers and improve the service level of urban rail transit, we proposed a multi-line collaborative passenger flow control model for urban rail transit networks. The model constructed here is based on passenger flow characteristics and congestion propagation rules. Considering the passenger demand constraints, as well as section transport and station capacity constraints, a linear programming model is established with the aim of minimizing total delayed time of passengers and minimizing control intensities at each station. The network constructed by Line 2, Line 6 and Line 8 of the Beijing metro is the study case used in this research to analyze control stations, control durations and control intensities. The results show that the number of delayed passengers is significantly reduced and the average flow control ratio is relatively balanced at each station, which indicates that the model can effectively relieve congestion and provide quantitative references for urban rail transit operators to come up with new and more effective passenger flow control measures.

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