Article
Computer Science, Information Systems
Xiaoyun Mo, Chu Cao, Mo Li, David Z. W. Wang
Summary: In the past decade, service disruptions of rail transit systems in urban cities have become more frequent due to various reasons such as power failures and signal errors. Smart transit cards provide detailed tapping records that enable the deduction of commuters' trajectories under normal and disruptive circumstances. This article studies and predicts the impact of disruptions on commuters and evaluates the vulnerability of the rail system.
ACM TRANSACTIONS ON SENSOR NETWORKS
(2023)
Article
Engineering, Industrial
Jianhua Zhang, Ziqi Wang, Shuliang Wang, Wenchao Shao, Xun Zhao, Weizhi Liu
Summary: This paper proposes an integrated coupled map lattices (ICML) to assess the vulnerability of weighted urban rail transit networks (URTNs) under external disturbance R. By refining passenger flow and adopting three parameters, the model is verified using Nanjing metro network. Results show a linear relationship between node and edge betweenness, and URTNs are susceptible to attacks and become more vulnerable with increased external disturbance. Furthermore, attacks based on largest degree nodes and highest betweenness nodes have different impacts on URTNs, with critical thresholds identified for smashing the network.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Environmental Sciences
Gexu Liu, Yichen Zhang, Jiquan Zhang, Qiuling Lang, Yanan Chen, Ziyang Wan, Huanan Liu
Summary: The frequent urban flooding in recent years poses a significant threat to ground-level infrastructure and the metro system. Therefore, assessing the risk of urban flooding in the metro system is crucial. This study employs a comprehensive natural disaster risk assessment theory to evaluate the urban flood risk in Changchun City's metro systems in China. The results show that over 30% of Changchun's metro lines are located in high-risk flood areas, mainly in the western part of the central city.
Article
Computer Science, Information Systems
Bing Liu, Guangyu Zhu, Xiaolu Li, Ranran Sun
Summary: This study proposed a novel model to analyze the cascading failure of weighted URTNs, taking into account the impact of changes in travel costs and modes on passenger flow redistribution. The results showed that the estimated operation interruption time of the station (EOITS) has a major impact on the vulnerability of URTNs, leading to more diverse travel behavior of passengers and making the cascading failure process more challenging to control.
Article
Engineering, Industrial
Qing-Chang Lu, Lei Zhang, Peng-Cheng Xu, Xin Cui, Jing Li
Summary: This study proposes an improved model to address the evolution process of cascading failures on rail transit network, and applies it to Shanghai metro network. The results show that the anti-risk ability of stations, geographical location, and adjacent station type affect the propagation of network cascading failures.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Construction & Building Technology
Zhiran Huang, Becky P. Y. Loo
Summary: This study assesses the vulnerability of urban rail transit during the Anti-ELAB movement in Hong Kong in 2019. It finds that highly vulnerable stations are concentrated in traditional urban core areas and that congestion increased around new town stations during service disruption. The study suggests a holistic approach for future assessments and provides directions for building resilient cities.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Physics, Multidisciplinary
Yunfang Ma, Jose M. Sallan, Oriol Lordan
Summary: This study constructs complex network models based on the Beijing rail transit real network using space P and space L methods, and analyzes the topological structure and global characteristics of the line and station networks. It also obtains all motifs from 3 to 8 nodes and identifies different typical subgraphs for the two networks of Beijing rail transit. The research proposes a method to assess the connectivity of the rail transit system and has significant reference value for optimizing network functions in the design and planning of rail transit networks.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Engineering, Civil
Shaojie Wu, Yan Zhu, Ning Li, Yizeng Wang, Xingju Wang, Daniel Jian Sun
Summary: This paper introduces a complex network modeling approach to evaluate the reliability of rail transit networks, focusing on the impact of passenger flows on network reliability. Results show that when network damage reaches 50%, the reliability of passenger-flow-weighted network approaches zero, indicating the importance of early intervention to prevent disruptions from spreading.
JOURNAL OF ADVANCED TRANSPORTATION
(2021)
Article
Engineering, Civil
Li Zhu, Cheng Chen, Hongwei Wang, F. Richard Yu, Tao Tang
Summary: Urban Rail Transit Systems (URTS) are becoming increasingly important in modern public transportation, but many existing URTS still lack advanced intelligence. Machine Learning (ML) has shown great potential in enhancing URTS through tasks like perception, prediction, and optimization. Utilizing ML techniques can improve service quality and performance.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Transportation Science & Technology
Saeid Saidi, Haris N. Koutsopoulos, Nigel H. M. Wilson, Jinhua Zhao
Summary: This paper introduces a mesoscopic Train Following Model that accurately captures train interactions and predicts delays based on spacing between consecutive trains. The model is validated using data from the Red Line of MBTA and is found to represent train operations accurately. Factors like service frequency, headway variations, passenger demand, and initial train delays are explored to understand their impacts on line performance using the model. The proposed model can be developed based on historical train tracking data and can efficiently address the drawbacks of other models while predicting system performance offline or in real-time.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Engineering, Electrical & Electronic
Yunda Wang, Gang Zhang, Zhongbei Tian, Ruichang Qiu, Zhigang Liu
Summary: This article proposes a novel online thermal deicing method for catenaries in urban rail transit, which uses Joule heat to melt ice during normal operation. The method has limited influence on the traction power supply system and achieves good deicing performance.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2021)
Article
Engineering, Industrial
Farah A. Awad, Daniel J. Graham, Ramandeep Singh, Laila AitBihiOuali
Summary: This paper examines the operational safety of urban rail transit (URT) systems using Artificial Neural Networks. Unlike recent safety literature that focuses on single systems or components, our study takes a macro perspective considering the complexity and non-linear interactions of these socio-technical systems. We present the first cross-country analysis of URT safety through machine learning models, utilizing a unique international dataset and generating promising results for operators and policy makers.
Article
Computer Science, Interdisciplinary Applications
Qingqing Zhao, Jinjin Tang, Xin Zhang
Summary: With worsening passenger congestion in urban rail transit, the need for passenger flow control has become crucial. Existing strategies fail to consider the spatial and temporal variations in passenger flow. To address this, a collaborative method for passenger flow control is proposed, which reduces controlled source points and passengers while minimizing the difference in expected and controlled passengers on bottleneck links. The method is validated through a case study on Chengdu Metro during COVID-19, demonstrating its effectiveness in reducing congestion.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Engineering, Civil
Guangyu Zhu, Ranran Sun, Jiaxin Fan, Furong Li, Yuhong Hou, Hui Yu, Peter Xiaoping Liu
Summary: This paper investigates the coupling effects and chain evolution of emergency events in urban rail transit through the construction of a GERTS evolution network and a CML-based coupled map model. Numerical simulations are conducted on the fire chain example to analyze the impact of different coupling effects and influencing factors on the evolution of emergency events. The results show that OR-coupling and CO-coupling can expand the impact scope of emergency events compared to AND-coupling, and the evolution speed of emergency events can be controlled by increasing the coupling action time and improving the URT repair ability. Therefore, analyzing the coupling effect and accompanying chain evolution can help managers make scientific judgments on the development trend of emergency events and take targeted emergency defense measures.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Biodiversity Conservation
Cindy Hurtado, Victoria Hemming, Cole Burton
Summary: Expert knowledge is crucial in developing wildlife habitat suitability models for management and conservation decisions. However, the consistency of such models has been questioned. This study focused on the use of the analytic hierarchy process to generate expert-based models for felid species and found that model correspondence with camera-trap detections varied based on species specialization.
CONSERVATION BIOLOGY
(2023)