A Guidebook for Safety Risk Management for Airports

Neubauer, Kenneth; Fleet, Dave; Ayres, Manuel

doi:10.17226/22138

Cited by 4 publications

(5 citation statements)

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“…We have followed the Safety Risk Management (SRM) 5-Steps process described in Neubauer et al (2015).…”

Section: Methodsmentioning

confidence: 99%

“…In reference to K. Neubauer et al (2015), definition of severity levels havebeen originated from FAA ARP 5200.11. and definition of likelihood have been originated from FAA ARP internal order 5200.11. It shall be noted that in our study, the probability is assessed for one single airport and not for the community of all the airports in the world!…”

Section: Analyse the Risksmentioning

confidence: 99%

“…Risk has been assessed based on FAA ARP Risk Matrix (Order 5200.11 change 2) found in K. Neubauer et al (2015): (1 x in 10 year) -Major damage to aircraft and/or minor injury to passengers.…”

Section: Assess the Risksmentioning

confidence: 99%

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The UAVs threat to airport security: risk analysis and mitigation

Pyrgies¹

2019

J. airl. airpt. manag.

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Purpose: This research studies the UAV incidents in the vicinity of worldwide airports in order to deliver a quantitative and qualitative analysis of this phaenomenon, to analyse the risks associated to this threat and propose mitigation measures that brings this risk to an ‘acceptable’ level.Methodology: A population of 139 ‘serious UAV incidents in the vicinity of worldwide airports’ has been constituted on the basis of the FAA and NASA databases and articles published on the Web by online media. This phaenomenon has then been analysed quantitatively using descriptive statistics techniques and qualitatively by analysing in-depth some representative incidents. A risk analysis has then been performed based on the FAA Safety Risk Management 5-steps process to identify the hazards i.e. the root causes of those UAV incidents, determine their outcome i.e. negative consequences that jeopardize airports objectives and assign them a severity level and likelihood i.e. frequency level. Analysed risks have then been assessed based on FAA ARP Risk Matrix. Mitigation measures (prevention, deterrence, denial, detection, neutralisation) have been identified following a ‘Defence-in-Depth’ approach.Findings: The findings of the study are that those UAV incidents are more numerous than anticipated and happen higher and further from the airports than expected: they happen not only in CTRs but also in TMAs. This has an impact on the mitigation measures that shall not only be deployed at airports side but also be on-boarded in manned aircrafts.Originality: To our knowledge, no study has combined different sources to constitute such a population focused on ‘serious’ UAVs incidents around airports worldwide, has applied the official FAA Safety Risk Management process to assess this risk and followed a structured ‘Defence-in-Depth’ approach typically used in Cybersecurity to mitigate this risk.Keywords: Airport security and safety, Unmanned Aerial Vehicles (UAVs) threat, Risk analysis and mitigation, Counter-UAVs technologies.

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“…We have followed the Safety Risk Management (SRM) 5-Steps process described in Neubauer et al (2015).…”

Section: Methodsmentioning

confidence: 99%

Section: Analyse the Risksmentioning

confidence: 99%

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The UAVs threat to airport security: risk analysis and mitigation

Pyrgies¹

2019

J. airl. airpt. manag.

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“…The Airport Corporative Research Program (ACRAP) identifies 5 levels of accident probability based on quantitative criteria: frequent, probable, small, extremely small, and extremely unlikely. At the same time, the acceptable risk value of the risk category identified as "small" is 1 × 10 −6 , in other words, one out of a million operations [2]. According to the statistics of the lateral runway excursion (known as aircrafts landing veer-off) in the USA the actual frequency of veer-offs for USA sample airports is 1.38 × 10 −6 [3].…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment of Aircraft’s Lateral Veer-off the Runway Surface during Landing

Stolyarov,

Jamal-Eddine

2023

OJAppS

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This article presents a methodology to determine the risk of aircrafts lateral runway excursion during landing via mathematical risk modeling. In addition, the methodology is demonstrated by means of detailed calculation of the lateral runway excursion risk value during the landing of the aircraft Airbus A310-200, in view of the maximum landing weight and the appropriate range of landing velocities according to the International Civil Aviation Organization specification. Obviously, the calculation demonstrates that the developed math solutions and equations presented herein are powerful tools to evaluate the risk of lateral runway excursion of the majority of aircrafts and for any airport. The method is also applicable to assess the residual level of risk at any specific airport and its deviation compared to the recommended safety level. Consequently, the presented mathematical solutions to determine the risk rate of lateral runway excursion during landing offers airports' operational and safety management departments a viable tool so that appropriate measurements could be adopted. Finally, it is a methodology not only to assess the risk but also to determine the appropriate runway width.

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“…The severity scale includes Near miss, Low severity, Medium severity, and High severity, while frequency indices were Once in 10 years = 0.000044, once per year = 0.00044, once per month = 0.0053, once per week = 0.0333, and once per day = 0.111 (Jazayeri and Dadi 2020;Dharmapalan et al 2015. The unit risk calculation used Equation 1 (Eq.1), forming the basis for the risk classification thresholds in this study: "Extremely high risk", "High risk", "Moderate risk", and "Low risk" (as depicted in Figure 2), a classification method similarly employed in past research like Neubauer et al (2015). Subsequently, participants were asked to assess the practicality and effectiveness of different HRI safety risk prevention strategies and pair these strategies with different safety risks.…”

Section: Methodsmentioning

confidence: 99%

Development and Evaluation of an E-Tool for Human-Robot Interaction Safety Risk Assessment

Nnaji,

Okpala,

Albeaino

EPiC Series in Built Environment

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The construction industry faces significant challenges in ensuring worker safety, health, and productivity. To address these challenges, recent research has focused on innovative approaches, including the adoption of Robotics and Automation (RA) technologies such as wearable robots, remotely operated robots, and on-site automated systems. These technologies offer potential solutions to enhance safety and productivity. However, their integration into construction lags behind other industries, partly due to the absence of standardized guidelines and concerns surrounding human-robot interaction (HRI) safety risks. This study introduces an electronic tool (e- tool) specifically designed for safety risk evaluation in RA applications within construction. Developed through a mixed-methods approach, including a literature review and a modified Delphi process, this tool aims to identify and mitigate HRI safety risks. It encompasses various mitigation strategies and aids in pre-task planning. The tool, named "Assessment of Human-Robot Interaction Safety Risks in Construction Operations," has been tested by industry stakeholders, demonstrating its effectiveness, clarity, and practicality. This significant development not only advances worker safety in RA but also contributes to improving overall work environments and productivity in the construction sector through the strategic integration of robotic technologies.

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A Guidebook for Safety Risk Management for Airports

Cited by 4 publications

References 0 publications

The UAVs threat to airport security: risk analysis and mitigation

The UAVs threat to airport security: risk analysis and mitigation

Risk Assessment of Aircraft’s Lateral Veer-off the Runway Surface during Landing

Development and Evaluation of an E-Tool for Human-Robot Interaction Safety Risk Assessment

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