Empirical Drivers of Airline Operational Disruptions in Port Harcourt International Airport, Nigeria (Published)
This paper presents an empirical analysis of the causes, patterns, and operational impacts of flight disruptions at Port Harcourt International Airport, Nigeria. The research is motivated by persistent schedule instability characterised by frequent delays, cancellations, and rescheduling, with the aim of determining whether such disruptions are random occurrences or outcomes of systemic inefficiencies. The paper specifically identifies major disruption causes, examines their distribution, evaluates their effects on flight performance, and assesses variability across airlines and routes. A descriptive and explanatory research design was employed using operational flight records and disruption data. Statistical techniques, including descriptive analysis, one-way ANOVA, chi-square tests, and logistic regression, were applied to examine relationships between disruption types and operational outcomes. The results indicate that disruption patterns are largely systemic, driven predominantly by internal operational inefficiencies rather than external factors. Operational issues, particularly those related to scheduling and aircraft turnaround, account for the overwhelming majority of disruptions, while technical faults, fuel constraints, and weather-related factors occur less frequently but exhibit varying levels of impact. The findings further reveal that delays are the most prevalent form of disruption, accounting for approximately 75–80% of cases, whereas cancellations and rescheduling occur at lower levels and diversions are rare. Statistical evidence shows that disruption type significantly influences delay duration, indicating that different categories of disruptions impose varying operational impacts. However, no significant differences were observed in disruption patterns across airlines or routes, suggesting that airport-wide structural constraints and shared operational conditions are the primary drivers of instability. The study also establishes the presence of delay propagation effects, where initial disruptions cascade across subsequent flights due to interdependencies in aircraft rotation, crew scheduling, and gate allocation. This highlights the limited buffering capacity and operational flexibility within the airport system. Although disruption causes were not found to significantly predict flight cancellations, this reflects the complex and multi-factor decision processes underlying cancellation outcomes. The paper concludes that flight disruptions at Port Harcourt International Airport are primarily shaped by endogenous operational constraints within a tightly coupled system. It recommends improvements in scheduling efficiency, turnaround coordination, stakeholder integration, and resilience-oriented planning to reduce disruption frequency and enhance overall operational reliability.
Keywords: Delay, air traffic, airline, airport, disruption, flight