The study revealed the contribution of the Nigerian Aviation Industry to the National GDP of Nigeria. To

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This paper outlines a multi-dimensional user-oriented performance metrics approach in evaluating the operation of the terminal airspace system to aid in the airport and airspace planning and decision making. Safety, delay and predictability metrics contribute to the analytical framework. From the findings, the occurrence of air incidence has a high severity level at departure, and arrival phases of flight, higher likelihood at the radar room and much of the incidences were as a result of faulty equipment and inherent absence of modern airspace infrastructure. Also, in Lagos terminal airspace, the number of incidences has no close correlation with the level of traffic complexity. Total schedule arrival delay ranges from 1 -392 minutes representing an average of 7.8 -17.9 minutes per aircraft that arrived Lagos airport at that period. Besides, the total approach contact time ranges from 1 -57 minutes, translating to 4.6 -7.1 minutes per aircraft. However, variability in arrival time of 1 -5 minutes is common from published airline arrival scheduled time. In the same vein, the variability of 1 -5 minutes is common from approach contact times of aircraft. These figures indicate sound arrival predictability signature for Lagos airport. Also, departure time variability above 30 minutes is familiar from the ATC clearance time for the various routes under study. However, there is about or more 25% variability of more than 15 minutes, and this indicates possible inconsistency of predicting departure times from the times Air Traffic Control (ATC) clearance was acquired. Above all, the predictability of departure times in Lagos airport is weak compared to those of the arrival. Taken by it, this may be a sign of airspace congestion or ATC deficiencies at the Lagos airport. This is an indication of the lack of us-

Generally speaking, cargo demand traffic forecasts are needed tools to rationalize the investment decisions in ports. However, little studies have been carried out in determining the magnitude of container cargo traffic at Nigerian ports, this creates a lacuna that needs to be filled up. The purpose of this study is to ascertain the spatial and temporal dimensions of container traffic in Nigerian seaports from 1990 to 2017. The study uses a survey design and employed descriptive and multivariate statistics to analyze the data. It demonstrates that Nigeria imports lots of commodities in containers than it exports in containers because most of the country's exports are crude oil and non-containerized goods. Thus the reason for traffic congestion at the ports and the high cost paid by Nigerian shippers for imported containerized cargo. The study further showed that both imported and exported container traffic had a positive trend in the time series. From the findings, we have shown the need for understanding the magnitude of container traffic at the ports as it helps Ports Authorities in operational decisions regarding port capacity utilization.