Abstract

Airports are like small cities. In Nigeria and other countries of the world, several companies operate within the airport boundary with substantial numbers of employees and millions of passenger travels in the year. Ensuring the safety of all these people is of paramount importance. Runway is one of the major components of airport facilities. About one-third of all aviation accidents were linked to runway operations. In addition, the world’s worst aircraft accident is a runway accident where all passengers on board were killed and the two aircrafts completely destroyed. Therefore, runway must be safe for the people who use them. Meanwhile, there is less planning concerning runway safety. The development of a Sustainable Runway Safety Management System for Nigeria aviation industry is the focus of this study. The study adopted quantitative techniques namely probabilistic (Fault Tree Analysis and Bayesian Belief Network) and deterministic (System Dynamics) techniques for runway safety system planning and evaluation. The dynamic equations for predicting Xt, Yt, SBL, and breakeven period were the runway safety performance measures. The predictive models developed have been employed to evaluate different scenarios of management of runway safety. The Sustainable Runway Safety Management System so developed is an adequate tool that comprises of runway hazards database, runway safety interventions database and predictive models for performance monitoring and assessment. It is a tool to translate airport concerns about runway safety into effective actions to mitigate runway hazards without compromising the sustainable development of the airport.

Copyright of the paper named above is hereby assigned and transferred to the Nigerian Journal of Applied Science and Innovative Technology published by College of Engineering, Bells University of Technology, Nigeria.