Resilience management problem in ATM systems as a shortest path problem

Filippone, Edoardo; Gargiulo, Francesco; Errico, Angela; Vito, Vittorio Di; Pascarella, Domenico

doi:10.1016/j.jairtraman.2016.03.014

Cited by 13 publications

(10 citation statements)

References 7 publications

(8 reference statements)

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“…Figure 2. Detailed categories of specific disturbance 11 papers (28%) studied the resilience properties under failures, error or degradation of technical systems [7,[10][11][12]21,24,35,36,41,42,53]. Edwards, et al additionally take human operator breakdown into account [53].…”

Section: 2disturbances Considered In Atm Resiliencementioning

confidence: 99%

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Advances in Resilience Engineering for Air Traffic Management Applications

Zhao

2022

J. Phys.: Conf. Ser.

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As an emerging safety perspective, resilience engineering is attracting increasingly attentions in aerospace industry. Numerous researches have been carried out to explore ATM resilience properties from different aspects. Nevertheless, there appear to be significant variations on the research objects, issues concerned, methods employed and indexes used. As far as we know, there seems to be an absence of a dedicated literature review to explore the application status of resilience in ATM area. To this end, our work is concentrated on the research situation and progress of resilience in ATM. A wide range of databases are retrieved to obtain an extensive coverage of the literature. Subsequently, the research works are reviewed on the basis of different classifications followed by a brief introduction of related findings and implications. Attempting to provide some reference for further studies, promising directions are pointed out in view of the challenges and requirements. It is desired that this work may throw some light on further explorations of ATM resilience.

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Section: 2disturbances Considered In Atm Resiliencementioning

confidence: 99%

“…15 papers are related to the analysis, assessment and management of ATM resilience [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22]. 4 papers concerned about resilience definitions and measurements [23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Advances in Resilience Engineering for Air Traffic Management Applications

Zhao

2022

J. Phys.: Conf. Ser.

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“…It has three capacities: absorptive capacity, adaptive capacity, and restorative capacity. Some researchers introduced resilience to the ATM system [17,26]. Meanwhile, resilience formulation is also used in the airport network.…”

Section: System Resilience Frame Generic Modelmentioning

confidence: 99%

“…e qualitative resilience assessment approaches include conceptual frameworks and semiquantitative indices [16]. Research about the resilience of the air transport system mainly focuses on air traffic management (ATM) system [17,18]. And Europe had the Sharing of Authority in Failure/Emergency Condition for Resilience of Air traffic Management (SAFECORAM) project, whose purpose was eventually to deal with the reallocation of tasks between residual resources of the system after a disturbance to minimize the system loss of global performance.…”

Section: Introductionmentioning

confidence: 99%

Resilience Modeling Method of Airport Network Affected by Global Public Health Events

Guo

Zhu

Liu

et al. 2021

Mathematical Problems in Engineering

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The COVID-19 global pandemic hit the aviation industry hard since the end of 2019. It has had an immediate, dramatic impact on airport traffic and revenue. Airports are the important nodes in the aviation system network, and the failure of a single airport can often affect the surrounding airports. The purpose of our analysis is to show how is the resilience and recovery of airports in the global public health crisis. Much research on resilience can be found in air transportation networks facing natural hazards or extreme weather, which focus on the robustness of the airport network. These methods are not suitable for the global public health event. Therefore, based on the collection of existing data, we combined with existing resilience measurement methods to analyze the resilience and recovery of airports during the global public health crisis. The resilience metrics results reflect the recovery of airports very well under different strategies. Here, we analyze airport network resilience by considering the performance-based methods. We integrate some metrics such as aircraft movements, passenger throughput, and freight throughput in the resilience metrics model, comparing the resilience evaluation under different preventive and control strategies, which can reflect the airport’s recovery speed during the COVID-19 pandemic. Our analysis indicates that the aviation system network deteriorates soon after the COVID-19 outbreak, but the recovery level of the aviation industry depends on what measures are taken to prevent and control the COVID-19 epidemic. In particular, the recovery of the aviation system network in Europe takes longer than in China, due to different prevention and control strategies for COVID-19. The study proves that the emergency response ability of the country for the public health crisis has a significant positive impact on speeding up the recovery of the aviation system.

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“…Resilience has been extensively investigated in transportation systems, such as railway networks, road networks, and air transport networks [8][9][10], where natural hazards or extreme weather are typically involved [11,12]. Research pertaining to the resilience of the air transport system focuses primarily on the air traffic management (ATM) system and airport network [13,14]. Cook proposed a cost resilience metric for ATM during disturbance [15].…”

Section: Introductionmentioning

confidence: 99%

Quantitative method for resilience assessment framework of airport network during COVID-19

Guo

Yang

et al. 2021

PLoS ONE

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The resilience and vulnerability of airport networks are significant challenges during the COVID-19 global pandemic. Previous studies considered node failure of networks under natural disasters and extreme weather. Herein, we propose a complex network methodology combined with data-driven to assess the resilience of airport networks toward global-scale disturbance using the Chinese airport network (CAN) and the European airport network (EAN) as a case study. The assessment framework includes vulnerability and resilience analyses from the network- and node-level perspectives. Subsequently, we apply the framework to analyze the airport networks in China and Europe. Specifically, real air traffic data for 232 airports in China and 82 airports in Europe are selected to form the CAN and EAN, respectively. The complex network analysis reveals that the CAN and the EAN are scale-free small-world networks, that are resilient to random attacks. However, the connectivity and vulnerability of the CAN are inferior to those of the EAN. In addition, we select the passenger throughput from the top-50 airports in China and Europe to perform a comparative analysis. By comparing the resilience evaluation of individual airports, we discovered that the factors of resilience assessment of an airport network for global disturbance considers the network metrics and the effect of government policy in actual operations. Additionally, this study also proves that a country’s emergency response-ability towards the COVID-19 has a significantly affectes the recovery of its airport network.

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Resilience management problem in ATM systems as a shortest path problem

Cited by 13 publications

References 7 publications

Advances in Resilience Engineering for Air Traffic Management Applications

Advances in Resilience Engineering for Air Traffic Management Applications

Resilience Modeling Method of Airport Network Affected by Global Public Health Events

Quantitative method for resilience assessment framework of airport network during COVID-19

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