scholarly journals Demand Analysis and Distribution of Single-Trip Ticket Cards for Urban Rail Transit

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Zi-jia Wang ◽  
Jing-qi Li ◽  
Jiang-yue Wu ◽  
Zhi-gang Yang

In the current urban rail transit systems, nearly 15% of passengers are noncommuter travelers who use single-trip ticket cards (ticket cards). Accordingly, the effective management of ticket cards is of great importance. This article suggests a time series model for use in predicting ticket card storage based on the characteristics of ticket cards collected by an automatic fare collection (AFC) system. The distribution cycle, station types, and distribution volume of each station are also determined. Then, drawing on small package transportation feasibility theory, an unbalanced distribution model between production and demand (unbalanced distribution model), as well as a hybrid distribution model of loading and unloading (hybrid distribution model), is established. Application of these models to the Beijing Subway system is used to verify the efficiency and feasibility of such a hybrid distribution model. The analysis and results offer insights into usage patterns of urban rail transit ticket cards, providing solid evidence for a relative decision-making process.

2018 ◽  
Vol 38 ◽  
pp. 03038
Author(s):  
Ran Liao

With the vigorous development of urban rail transit system, especially the construction of subway system, the safety of subway system draws more and more attention. The study of anti-seismic for underground structures has also become an important problem to be solved in the construction of Metro system. Based on the typical underground structure seismic damage phenomenon, this paper summarizes the seismic characteristics, research methods and design methods of underground structures to offer a guide for engineers.


2019 ◽  
Vol 11 (22) ◽  
pp. 6322 ◽  
Author(s):  
Annunziata Esposito Amideo ◽  
Stefano Starita ◽  
Maria Paola Scaparra

Urban rail transit systems are highly prone to disruptions of various nature (e.g., accidental, environmental, man-made). Railway networks are deemed as critical infrastructures given that a service interruption can prompt adverse consequences on entire communities and lead to potential far-reaching effects. Hence, the identification of optimal strategies to mitigate the negative impact of disruptive events is paramount to increase railway systems’ resilience. In this paper, we investigate several protection strategies deriving from the application of either single asset vulnerability metrics or systemic optimization models. The contribution of this paper is threefold. Firstly, a single asset metric combining connectivity, path length and flow is defined, namely the Weighted Node Importance Evaluation Index (WI). Secondly, a novel bi-level multi-criteria optimisation model, called the Railway Fortification Problem (RFP), is introduced. RFP identifies protection strategies based on stations connectivity, path length, or travel demand, considered as either individual or combined objectives. Finally, two different protection strategy approaches are applied to a Central London Underground case study: a sequential approach based on single-asset metrics and an integrated approach based on RFP. Results indicate that the integrated approach outperforms the sequential approach and identifies more robust protection plans with respect to different vulnerability criteria.


2012 ◽  
Vol 253-255 ◽  
pp. 2020-2023
Author(s):  
Xue Jun Liu ◽  
Chuan Min Mi ◽  
Yuan Yuan Wang ◽  
Wei Vivien Shi

An analytical model and a solution procedure are proposed to optimize train size and headway for an urban rail transit system wherein passengers demand is assumed to be sensitive to fare and the level of service, in terms of load factor and waiting time. It is found that an optimal temporal headway and train size for different demand distribution that maximizes profit and minimize total system cost for the studied subway system can be efficiently solved.


2015 ◽  
Vol 27 (2) ◽  
pp. 125-135 ◽  
Author(s):  
Zhibin Jiang ◽  
Chao Xie ◽  
Tingting Ji ◽  
Xiaolei Zou

Understanding the nature of rail transit dwell time has potential benefits for both the users and the operators. Crowded passenger trains cause longer dwell times and may prevent some passengers from boarding the first available train that arrives. Actual dwell time and the process of passenger alighting and boarding are interdependent through the sequence of train stops and propagated delays. A comprehensive and feasible dwell time simulation model was developed and optimized to address the problems associated with scheduled timetables. The paper introduces the factors that affect dwell time in urban rail transit systems, including train headway, the process and number of passengers alighting and boarding the train, and the inability of train doors to properly close the first time because of overcrowded vehicles. Finally, based on a time-driven micro-simulation system, Shanghai rail transit Line 8 is used as an example to quantify the feasibility of scheduled dwell times for different stations, directions of travel and time periods, and a proposed dwell time during peak hours in several crowded stations is presented according to the simulation results.


2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Yuan Jiang ◽  
Baofeng Sun ◽  
Lili Zheng ◽  
Wankun Cui ◽  
Xinhua Mao

Network-wide maintenance lacks strong theoretical support and practical cases. However, research on this topic has entered an extensive exploratory stage; for example, new network design methods are being sought, and successful practices from traditional maintenance by line and by profession are being incorporated. This paper proposes a novel set-covering model with the variable coverage radius for the maintenance network of urban rail transit systems in the context of network-wide maintenance. The concepts of network-wide maintenance follow principles that are similar to those of bio-geography-based optimization (BBO), i.e., patterns of migration, variation, and extinction of different populations in different habitats. Therefore, a BBO algorithm is implemented with combinatorial optimization programming. Experiments from Changchun city in China show that the proposed model and algorithm are effective in fulfilling network-wide requirements through a direct tradeoff between the coverage radius and maintenance response time. In addition, the maintenance capacity and variable coverage radius of each maintenance point influence both the maintenance timeliness and resource utilization of maintenance units.


2012 ◽  
Vol 209-211 ◽  
pp. 851-855
Author(s):  
Ming Ke He ◽  
Juan Juan Yin ◽  
Hao Xiong Yang

This paper studied the foreign standpoints of using the rail transit for freight, and analyzed the problems about the fresh produce distribution model in mainland cities. Take Beijing for example, the paper analyzed the characters of urban rail transition. The results show that the distribution model of fresh produce by using the urban rail transit could effectively resolve the fresh produce distribution problems in cities. Then, this paper designed the technological process of distribution model by using the rail transit for fresh agriculture products, the principles of distribution line planning and the infrastructure construction and reform.


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