A quantitative approach for assessing the critical nodal and linear elements of a railway infrastructure

Zhang, Zili; Li, Xiangyang; Li, Hengyun

doi:10.1016/j.ijcip.2014.11.001

Cited by 42 publications

(17 citation statements)

References 26 publications

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“…The first one was to use human objects as network nodes to analyze the relationship among project participants [53,54]. The second one was to consider non-human objects in the project as nodes to analyze their relationship [55,56]. Some scholars have used social network methods to research the risk of engineering projects based on the complex relationship among stakeholders.…”

Section: Social Network Analysis: a New Perspective To Solve Project mentioning

confidence: 99%

Toward a Stakeholder Perspective on Social Stability Risk of Large Hydraulic Engineering Projects in China: A Social Network Analysis

Huang

Zhang

et al. 2018

Sustainability

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In China, large hydraulic engineering projects have made a great contribution to social economic development; at the same time, they also lead to social risks that affect social stability. The pluralism of stakeholders in large hydraulic engineering projects and the complex interrelationship among stakeholders are the important factors affecting social stability risk. Previous studies of social stability risk have mainly focused on risk identification and risk assessment, without considering the relationships among stakeholders and their linkages of risks. For large hydraulic engineering projects, this paper investigated the relevant risk factors and their interrelationships through a literature review and interviews that represented stakeholder perspectives. The key social stability risk factors were identified based on social network analysis. A multi-channel project financial system, a perfect interest compensation mechanism, an efficient prevention mechanism of group events, and a complete project schedule control system were proposed to mitigate the social stability risks. This study combined stakeholder management with risk management by using social network analysis, providing reference for the social stability risk management of large engineering projects in China.

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Section: Social Network Analysis: a New Perspective To Solve Project mentioning

confidence: 99%

Toward a Stakeholder Perspective on Social Stability Risk of Large Hydraulic Engineering Projects in China: A Social Network Analysis

Huang

Zhang

et al. 2018

Sustainability

View full text Add to dashboard Cite

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“…The quantification of the vulnerability of transport networks has been attracting much interest 3 – 5 . In topological studies of link or node failures, network-based properties are predominant 6 – 9 . Including service level aspects allows quantifying travel time and capacity 10 , 11 .…”

Section: Introductionmentioning

confidence: 99%

“…Including service level aspects allows quantifying travel time and capacity 10 , 11 . Determining the relation between link, node, network characteristics, and risk or exposure of a theoretical small or large disruption, allows a-priori quantification of resilience, and determination of strategic actions such as reducing vulnerability of some links 8 , 9 , 12 – 14 . Once a disruption happened, management and recovery actions (changing network structure and usage of links and nodes) can be quickly computed and disseminated to users 2 , 6 , 15 – 19 .…”

Section: Introductionmentioning

confidence: 99%

Empirical dynamics of railway delay propagation identified during the large-scale Rastatt disruption

Büchel

Spanninger

Corman

2020

Sci Rep

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Transport networks are becoming increasingly large and interconnected. This interconnectivity is a key enabler of accessibility; on the other hand, it results in vulnerability, i.e. reduced performance, in case any specific part is subject to disruptions. We analyse how railway systems are vulnerable to delay, and how delays propagate in railway networks, studying real-life delay propagation phenomena on empirical data, determining real-life impact and delay propagation for the uncommon case of railway disruptions. We take a unique approach by looking at the same system, in two different operating conditions, to disentangle processes and dynamics that are normally present and co-occurring in railway operations. We exploit the unique chance to observe a systematic change in railway operations conditions, without a correspondent system change of infrastructure or timetable, coming from the occurrence of the large-scale disruption at Rastatt, Germany, in 2017. We define new statistical methods able to detect weak signals in the noisy dataset of recorded punctuality for passenger traffic in Switzerland, in the disrupted and undisrupted state, along a period of 1 year. We determine how delay propagation changed, and quantify the heterogeneous, large-scale cascading effects of the Rastatt disruption towards the Swiss network, hundreds of kilometers away. Operational measures of transport performance (i.e. punctuality and delays), while globally being very decreased, had a statistically relevant positive increase (though very geographically heterogeneous) on the Swiss passenger traffic during the disruption period. We identify two factors for this: (1) the reduced delay propagation at an international scale; and (2) to a minor extent, rerouted railway freight traffic; which show to combine linearly in the observed outcomes.

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“…Different approaches have been proposed for modelling the reliability of railway infrastructure systems. A quantitative approach was proposed by Zhang, Li and Li [29] to analyse the criticality of elements in railway infrastructure systems. The modelling approach uses social network diagrams, with ties and nodes representing railway lines and train stations respectively.…”

Section: Modelling Railway Infrastructure Reliabilitymentioning

confidence: 99%

A Modelling Framework for Railway Infrastructure Reliability Analysis

Fourie

Zhuwaki

2017

SAJIE

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The maintenance and management of railway infrastructure plays a central role in ensuring the reliability and availability of rail transport. In a highly competitive transport market, the rail industry is required to employ new and innovative maintenance strategies that will position rail transport as an affordable and reliable transportation alternative. This can be realised through implementing maintenance strategies that prioritise efficient resource allocation. Application of reliability-based techniques to make informed decisions in maintenance management, with an overall aim of reducing operational expenditure while maintaining safety and efficiency, has been increasing. This paper presents a framework for the application of a reliability-based technique to evaluate the reliability of railway infrastructure systems. OPSOMMINGDie onderhoud en bestuur van spoorweginfrastruktuur speel 'n sentrale rol om die betroubaarheid en beskikbaarheid van spoorverkeer te verseker. In 'n hoogs-mededingende vervoer bedryf, word dit van die spoorindustrie verwag om nuwe en innoverende onderhoudstrategieë toe te pas. Dit sal dié industrie in die posisie stel om 'n bekostigbare en betroubare vervoerkeuse te wees. Hierdie posisie kan egter slegs bereik word indien onderhoudstrategieë toegepas word wat voorkeur gee aan die doeltreffende toewysing van hulpbronne. Daar is 'n toename in die toepassing van tegnieke gegrond op betroubaarheid vir die neem van ingeligte besluite in onderhoudbestuur. Die doel van die tegnieke is om bedryfsuitgawes te verminder terwyl veiligheid en doeltreffendheid behoue bly. In hierdie artikel word 'n raamwerk voorgestel vir die toepassing van tegnieke om betroubaarheid van spoorweginfrastruktuur te evalueer. INTRODUCTIONThe management of railway infrastructure assets involves a range of activities such as building, inspection, maintenance, enhancement, and renewal aimed at optimising the performance, risks, and costs of the infrastructure. This is a highly complex decision-making environment that requires various trade-offs. Furthermore, the relationship between the timing and choice of activities for multiple assets needs to be taken into account to achieve the required performance levels. Significant efforts have been made to develop decision support tools based on cost, risk, and reliability to assist with decision-making in highly complex asset management environments. used reliability-based techniques to develop a parametric model to predict correctly the failure rate probability of point-and-point machines in railway signalling subsystems. Additionally, similar reliability analyses using fault tree analysis have been applied to railway infrastructure systems to quantify the reliability performance of railway electrical subsystems [5]- [7].

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A quantitative approach for assessing the critical nodal and linear elements of a railway infrastructure

Cited by 42 publications

References 26 publications

Toward a Stakeholder Perspective on Social Stability Risk of Large Hydraulic Engineering Projects in China: A Social Network Analysis

Toward a Stakeholder Perspective on Social Stability Risk of Large Hydraulic Engineering Projects in China: A Social Network Analysis

Empirical dynamics of railway delay propagation identified during the large-scale Rastatt disruption

A Modelling Framework for Railway Infrastructure Reliability Analysis

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