A risk analysis and safety certification framework for a COVID-resilient airport – Antecedent, Contrasts and Outcomes

Author Information

Matthew YapFollow

Is this project an undergraduate, graduate, or faculty project?

Graduate

Project Type

individual

Campus

Daytona Beach

Authors' Class Standing

Graduate Student

Lead Presenter's Name

Matthew Yap

Lead Presenter's College

DB College of Business

Faculty Mentor Name

Dr Azadian Farshid

Abstract

1. Purpose of the Research COVID-19 and its multiple variant, seeks to change the public healthcare risk mitigation framework for the aviation industry. The emergence of a pre-event, event and post event risk dimension criteria incorporating two other dimensions, agent-host-environment and other sociological and circumstantial dimensions will result in a new risk assessment and safety matrix for airport, airlines and aviation stakeholders.

2. Research Design and Methodology Literature research on Haddon Matrix (Haddon, 1968) helped to identity factors for COVID- 19 susceptibility, infection, and severity of infection. The community risk reduction (CRR) model, established in Federal Emergency Management Agency (FEMA) for fire and disaster management shall set all responses and control measures for each factor obtained from the Haddon matrix. These criteria lead to a combined new three dimension model to determine a qualitative assessment for inherent risk, so that active risk analysis and design of mitigation measures leads to a lower residual risk.

3. (Expected) Research Findings The combined use of the Haddon Matrix and FEMA’s community risk reduction (CRR) model will allow a more robust risk analysis and safety assessment framework compared to the current likelihood (probability) – severity (consequence) risk matrix employed by ICAO and ACI’s airport safety guidance framework. The researcher envisages a revamp of the current ICAO safety management system framework (Annex 19) and Airport Council International (ACI) Health Measures Audit Programme (AHMAP) in light of many public healthcare, epidemiological and risk management research imperatives for the aviation industry.

4. Originality/ Contribution of Research Like public healthcare and construction safety industry, airports and airlines have used the traditional likelihood (probability) – severity (consequence) risk matrix to design mitigation measures to reduce the higher inherent risk to a lower residual risk. The rapid mutation of the COVID-19 variants from 2019 – 2022 requires airport and airlines stakeholders to think three time period (third dimension), pre-event, event and post event to vigilantly guard against the current and future uncontrolled epidemiological outbreak.

Did this research project receive funding support (Spark, SURF, Research Abroad, Student Internal Grants, Collaborative, Climbing, or Ignite Grants) from the Office of Undergraduate Research?

No

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A risk analysis and safety certification framework for a COVID-resilient airport – Antecedent, Contrasts and Outcomes

1. Purpose of the Research COVID-19 and its multiple variant, seeks to change the public healthcare risk mitigation framework for the aviation industry. The emergence of a pre-event, event and post event risk dimension criteria incorporating two other dimensions, agent-host-environment and other sociological and circumstantial dimensions will result in a new risk assessment and safety matrix for airport, airlines and aviation stakeholders.

2. Research Design and Methodology Literature research on Haddon Matrix (Haddon, 1968) helped to identity factors for COVID- 19 susceptibility, infection, and severity of infection. The community risk reduction (CRR) model, established in Federal Emergency Management Agency (FEMA) for fire and disaster management shall set all responses and control measures for each factor obtained from the Haddon matrix. These criteria lead to a combined new three dimension model to determine a qualitative assessment for inherent risk, so that active risk analysis and design of mitigation measures leads to a lower residual risk.

3. (Expected) Research Findings The combined use of the Haddon Matrix and FEMA’s community risk reduction (CRR) model will allow a more robust risk analysis and safety assessment framework compared to the current likelihood (probability) – severity (consequence) risk matrix employed by ICAO and ACI’s airport safety guidance framework. The researcher envisages a revamp of the current ICAO safety management system framework (Annex 19) and Airport Council International (ACI) Health Measures Audit Programme (AHMAP) in light of many public healthcare, epidemiological and risk management research imperatives for the aviation industry.

4. Originality/ Contribution of Research Like public healthcare and construction safety industry, airports and airlines have used the traditional likelihood (probability) – severity (consequence) risk matrix to design mitigation measures to reduce the higher inherent risk to a lower residual risk. The rapid mutation of the COVID-19 variants from 2019 – 2022 requires airport and airlines stakeholders to think three time period (third dimension), pre-event, event and post event to vigilantly guard against the current and future uncontrolled epidemiological outbreak.