A Predictive Compliance Monitoring Framework for Detecting Systemic Safety Risks Through Aviation Consumer Complaint Data

• Author(s): Oluwabukola Oluwapelumi Adeyelu
• Paper ID: 1718478
• Page: 250-276
• Published Date: 28-02-2018
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 1 Issue 8 February-2018

Abstract

Aviation regulatory authorities receive large volumes of consumer complaints spanning delays, denied boarding, baggage handling failures, and onboard safety concerns. While these complaints are routinely processed for consumer protection purposes, their potential as early-warning indicators of systemic operational safety deficiencies remains largely underexplored in both regulatory practice and academic literature This paper proposes a Predictive Compliance Monitoring Framework (PCMF) that repositions consumer complaint data as a proactive safety surveillance input within civil aviation regulatory systems. The framework integrates complaint frequency analysis, service failure clustering, and safety-adjacent incident pattern recognition algorithms into a composite risk-scoring architecture that generates actionable compliance signals The PCMF translates complaint data streams into a Compliance Risk Index (CRI) for each regulated entity, enabling regulatory authorities to prioritize inspection resources toward the highest-risk operators before safety events escalate. The framework demonstrated strong face validity against six years of Nigerian aerodrome complaint and inspection finding correlation data The PCMF advances existing safety monitoring literature by bridging consumer protection and safety oversight functions within a unified data governance architecture. Implications for developing economy aviation regulators managing large, heterogeneous aerodrome portfolios with limited inspection resources are discussed at length

Keywords

Consumer Complaints, Predictive Compliance, Aviation Safety, Regulatory Monitoring, Systemic Risk Detection, Safety Management Systems, Developing Economies, Nigeria Civil Aviation Authority, ICAO, Compliance Risk Index

Citations

IRE Journals:
Oluwabukola Oluwapelumi Adeyelu "A Predictive Compliance Monitoring Framework for Detecting Systemic Safety Risks Through Aviation Consumer Complaint Data" Iconic Research And Engineering Journals Volume 1 Issue 8 2018 Page 250-276 https://doi.org/10.64388/IREV1I8-1718478

IEEE:
Oluwabukola Oluwapelumi Adeyelu "A Predictive Compliance Monitoring Framework for Detecting Systemic Safety Risks Through Aviation Consumer Complaint Data" Iconic Research And Engineering Journals, 1(8) https://doi.org/10.64388/IREV1I8-1718478