Air Transportation Infrastructure Robustness Assessment for Proactive Systemic Risk Management

Yassien, Yassien; Ezzeldin, Mohamed; Mohamed, Moataz; El‐Dakhakhni, Wael

doi:10.1061/(asce)me.1943-5479.0000789

Cited by 21 publications

(8 citation statements)

References 94 publications

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“…These aim to propose specific frameworks for identifying the robustness of an airport network. The exploited techniques are rather distinct conceptually, e.g., using shock propagation [69], fuzzy soft sets [70], adaptive capacity [71], rerouting-based approaches [72]. Most of these are evaluated on the US airport network-due to freely available data-and the Chinese airport network.…”

Section: Robustness Measurement and Simulationmentioning

confidence: 99%

Robustness of Air Transportation as Complex Networks:Systematic Review of 15 Years of Research and Outlook into the Future

Sun

Wandelt

2021

Sustainability

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Air transportation systems are an important part of the critical infrastructure in our connected world. Accordingly, a better understanding and improvements in the resilience of the overall air transportation system are essential to the well-functioning of our society and overall sustainability of human beings. In the literature, network science is increasingly used to better understand the resilience dynamics of air transportation. Given the wide application of tools for network science and the importance of designing resilient air transportation systems, a rich body of studies has emerged in recent years. This review paper synthesizes the related literature that has been published throughout the last 15 years regarding the robustness of air transportation systems. The contributions of this work consist of two major elements. The first part provides a comprehensive discussion and cross-comparison of the reported results. We cover several major topics, including node importance identification, failure versus attack profiles, recovery and improvement techniques, and networks of networks approaches. The second part of this paper complements the review of aggregated findings by elaborating on a future agenda for robust air transportation research. Our survey-style overview hopefully contributes toward a better understanding of the state of the art in this research area, and, in turn, to the improvement of future air transportation resilience and sustainability.

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Section: Robustness Measurement and Simulationmentioning

confidence: 99%

Robustness of Air Transportation as Complex Networks:Systematic Review of 15 Years of Research and Outlook into the Future

Sun

Wandelt

2021

Sustainability

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“…erefore, reasonable control of this type of risk is of great significance for the completion of construction project. (6) Legal risk refers to the risk related to legal issues in the whole life cycle of the project. (7) Force majeure risk includes political environment force majeure risk and social environment force majeure risk.…”

Section: Key Indicators Indicate the Followingmentioning

confidence: 99%

Study on Development Risk of Overseas Transportation Infrastructure under the New Form Based on Interpretive Structure Model

Chen

et al. 2021

Advances in Civil Engineering

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With the improvement of China’s comprehensive national strength, more and more construction enterprises began to undertake overseas construction projects. Under the premise of the epidemic situation and the increasingly severe international situation, it is of great significance to study the risk control of overseas transportation infrastructure construction. This paper constructs the risk influencing factor model of overseas transportation infrastructure development risk in the new form from six aspects, that is, decision-making risk, design and planning risk, construction risk, operation risk, government risk, and force majeure, and uses the interpretative structure model and fuzzy comprehensive evaluation method. The key factors affecting the risk of overseas transportation foundation design and development are studied, and the adaptive solutions are put forward.

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“…Flight delay will occur frequently and propagate heavily if air transportation network is vulnerable, less robust, or less resilient to disturbances. Network efficiency [21] and size of the largest connected subgraph [22] became the most frequent utilized indicators in robustness description of air transportation network [23][24][25][26][27][28] and both of them come from complex network. Indices, including degree, betweenness, clustering coefficients, and closeness, could be employed to make effective and efficient attack/recover strategy [23][24][25][26][27][28] to network resilience.…”

Section: Introductionmentioning

confidence: 99%

Recent Progress about Flight Delay under Complex Network

2021

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Flight delay is one of the most challenging threats to operation of air transportation network system. Complex network was introduced into research studies on flight delays due to its low complexity, high flexibility in model building, and accurate explanation about real world. We surveyed recent progress about flight delay which makes extensive use of complex network theory in this paper. We scanned analyses on static network and temporal evolution, together with identification about topologically important nodes/edges. And, we made a clarification about relations among robustness, vulnerability, and resilience in air transportation networks. Then, we investigated studies on causal relations, propagation modellings, and best spreaders identifications in flight delay. Ultimately, future improvements are summarized in fourfold. (1) Under Complex Network, flight operation relevant subsystems or sublayers are discarded by the majority of available network models. Hierarchical modelling approaches may be able to improve this and provide more capable network models for flight delay. (2) Traffic information is the key to narrow the gap between topology and functionality in current situations. Flight schedule and flight plan could be employed to detect flight delay causalities and model flight delay propagations more accurately. Real flight data may be utilized to validate and revise the detection and prediction models. (3) It is of great importance to explore how to predict flight delay propagations and identify best spreaders at a low cost of calculation complexity. This may be achieved by analyzing flight delay in frequency domain instead of time domain. (4) Summation of most critical nodes/edges may not be the most crucial group to network resilience or flight delay propagations. Effective algorithm for most influential sequence is to be developed.

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Air Transportation Infrastructure Robustness Assessment for Proactive Systemic Risk Management

Cited by 21 publications

References 94 publications

Robustness of Air Transportation as Complex Networks:Systematic Review of 15 Years of Research and Outlook into the Future

Robustness of Air Transportation as Complex Networks:Systematic Review of 15 Years of Research and Outlook into the Future

Study on Development Risk of Overseas Transportation Infrastructure under the New Form Based on Interpretive Structure Model

Recent Progress about Flight Delay under Complex Network

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