Browsing by Author "Ibe, C. C."

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    Analysis of air traffic capacity in Nigrian airports
    (KY, 2017) Ejem, E. A.; Ibe, C. C.; Dike, D. N.; Chikwendu, D. U.; Igboanusi, C. C.; Chukwu, O. E.
    The paper is aimed at determining the capability of the airside facilities to accommodate aviation operational demand. The USA FAA methodology was utilized for the measurement of airfield capacity in this study. In consideration of the existing runway configuration, runway utilization patterns and 52506 operation counts, Lagos airport domestic wing Nigeria has been determined to have a daily demand ratio (D) of 240 operations and an hourly demand ratio (H) of 20 operations, and thus, an ASV of approximately 63006 operations. Capacity calculations indicated that a Nigerian runway configuration accommodates an ASV of 247, 123 annual operations. Based on the aircraft fleet mix currently utilizing Nigerian airports, this ASV seems appropriate through the planning period. The ASV during the period under study was highest at the domestic wing of Lagos Airport followed International wing of the same airport. Abuja domestic wing was next followed by Port Harcourt domestic wing. It is considered, therefore, that no significant increase to existing peak-hour runway capacity may be possible in the short term although there is spare capacity during the off-peak (shoulder) periods. Nigeria has, in theory, the option of having two additional runways available, to enhance the overall runway capacity of the airport. In practical terms, simultaneous operational use of these runways is unlikely to provide significant and consistent capacity benefits.
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    Passengers demand model for domestic airline in Nigeria: A case study of Airk Air
    (U. P., 2017) Ejem, E. A.; Ibe, C. C.; Okeudo, G. N.; Dike, D. N.; Ikeogu, C. C.; Igboanusi, C. C.
    In this paper, a passenger demand model for domestic was built. This model considers roles of airline service variables such as; service frequency, aircraft size, ticket price, flight distance, and number of airports in the route. It takes into account the influence of originating passengers in the metropolitan areas. The airport capacity, which has significant impact on service quality in airport and in the airline network, is considered. Researchers confirm importance of originating passengers, finds that, interestingly, airlines’ services in first flight leg are more important, and attracting passengers than those in the second flight leg. Based on study data, it was discovered that DIST, ORIG, DOMI and CAPA has positive individual elasticities of 0.027, 0.654, 0.558 and 1.137 with respect to passenger demand in airline route. This implies that 1% increase in each variable will increase passenger flow by 0.2%, 6.5%, 5.6% and 11.4% respectively in airline routes under study. These findings are helpful for airlines to understand effects of changing services, and also useful for us to quantify benefits of airport expansion projects.