Vulnerability analysis for airport networks based on fuzzy soft sets: From the structural and functional perspective

Li, Shanmei; Xu, Xiaohao

doi:10.1016/j.cja.2015.04.002

Cited by 18 publications

(11 citation statements)

References 14 publications

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“…Li and Xu [41] employed both functional index and topological metrics in the evaluation of node importance. ese indicators are fused by a method based on fuzzy soft set theory which is able to integrate several indices over different time intervals.…”

Section: Identification Of Topological Important Nodes/edgesmentioning

confidence: 99%

“…Depending on topological indices, these approaches [41][42][43] calculate the importance of a node directly. Instead, Ren et al [44] measured influence of waypoint through change of network after the node is removed.…”

Section: Identification Of Topological Important Nodes/edgesmentioning

confidence: 99%

“…e identification is crucial to achieve certain structural or functional objectives. ey are topologically important nodes/edges in network character analysis [41][42][43][44], influential nodes/edges to network resilience [24,45], and best spreaders for flight delay [34,40,46]. However, the identification is not a trivial task due to challenges in balancing local and global indices and parameter-free and multiparameter indices [47].…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Identification Of Topological Important Nodes/edgesmentioning

confidence: 99%

Section: Identification Of Topological Important Nodes/edgesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Recent Progress about Flight Delay under Complex Network

2021

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“…have been investigated by means of a hazard‐dependent approach focused on the airport physical infrastructure (Lopez, ). An integrated hazard‐dependent and hazard‐independent approach is adopted by Li and Xu (), who propose a method to help air traffic administrations schedule airport maintenance to avoid safety concerns and service disruptions. Vulnerability is assessed based on the structural characteristics of the explored airports (nature of the object of vulnerability) and on the specific hazard (maintenance risks).…”

Section: Review Of the Relevant Literaturementioning

confidence: 99%

Toward an Epidemiology of Safety and Security Risks: An Organizational Vulnerability Assessment in International Airports

Bongiovanni

Newton

2018

Risk Analysis

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International airports are complex sociotechnical systems that have an intrinsic potential to develop safety and security disruptions. In the absence of appropriate defenses, and when the potential for disruption is neglected, organizational crises can occur and jeopardize aviation services. This investigation examines the ways in which modern international airports can be “authors of their own misfortune” by adopting practices, attitudes, and behaviors that could increase their overall level of vulnerability. A sociotechnical perspective, the macroergonomic approach, is applied in this research to detect the potential organizational determinants of vulnerability in airport operations. Qualitative data nurture the case study on international airports produced by the present research. Findings from this study highlight that systemic weaknesses frequently reside in areas at the intersection of physical, organizational, and social spaces. Specific pathways of vulnerability can be drawn across these areas, involving the following systemic layers: individual, task, tools and technology, environment, and organization. This investigation expands the existing literature on the dynamics that characterize crisis incubation in multiorganization, multistakeholder systems such as international airports and provides practical recommendations for airport managers to improve their capabilities to early detect symptoms of organizational vulnerability.

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“…Zeng conducted an empirical analysis on the Chinese aviation network from perspectives of topology, hub level, and invulnerability by using complex network theory [49]. Li et al established the evaluation methods of airport importance and network efficiency, and then compared the vulnerability of the US and China's airport networks [50]. Oriol et al conducted research on airport networks and they split the world airport network (WAN) into seven global region airport networks (GRANs), determining core cities through k-core decomposition and robustness analysis [36].…”

Section: Introductionmentioning

confidence: 99%

Vulnerability and Resilience Analysis of the Air Traffic Control Sector Network in China

2020

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Sustainability and its component resilience have become an important issue that cannot be neglected in airspace planning and development. Resilience, as an emerging system concept, is critical to sustainability in many fields. With the rapidly growing demand in China’s air transportation sector, airspace congestion and flight delays have become a major issue in the fast development of this sector, and threatens the sustainability and resilience of air traffic control (ATC) systems such as waste of resources, air pollution, etc. Sectors, the basic units of an ATC system, play a significant role in ensuring the safe and smooth operations of day-to-day flights. In this paper, we apply the complex network theory to establish a model of China’s air sector network (CASN) and examine a series of characteristic parameters with an empirical analysis on its vulnerability and resilience. Through a simulation-based approach, the CASN’s resilience was quantitatively assessed with a resilience indicator (RI) in different scenarios to identify the optimal recovery strategy for building higher system resilience. The results show that the CASN has a lengthy average shortest path and a small clustering coefficient, which demonstrates a hybrid topological feature. We have also found that betweenness has the greatest impact on the resilience and has managerial implications to understand the relationship between vulnerability and resilience in CASN, so as to achieve the resilience and sustainability of CASN.

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Vulnerability analysis for airport networks based on fuzzy soft sets: From the structural and functional perspective

Cited by 18 publications

References 14 publications

Recent Progress about Flight Delay under Complex Network

Recent Progress about Flight Delay under Complex Network

Toward an Epidemiology of Safety and Security Risks: An Organizational Vulnerability Assessment in International Airports

Vulnerability and Resilience Analysis of the Air Traffic Control Sector Network in China

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