Adeniran Adetayo Olaniyi - Department of Transport Management Technology, Federal University of Technology, Akure, Nigeria.
Kanyio Olufunto Adedotun - Department of Transport Management Technology, Federal University of Technology, Akure, Nigeria.
Owoeye Adelanke Samuel - Department of Transport Management Technology, Federal University of Technology, Minna, Nigeria.

Two years single moving average and simple exponential smoothing with smoothing constant of ۰.۹ were applied to forecast the ۲۰۱۸ demand for domestic air passenger in Nigeria. Also, the two methods of forecasting were evaluated and compared with Mean Squared Deviations (MSD) to determine which method gives the lowest deviation as it will produce best forecast for the year ۲۰۱۸ domestic air passenger demand in Nigeria. The study relied on data of domestic air passenger demand between the periods of the year ۲۰۱۰ to the year ۲۰۱۷. It was revealed that the MSD of two yearly single moving average gave the best year ۲۰۱۸ forecast as it has a lower MSD when compared to the MSD of simple exponential smoothing with the smoothing constant of ۰.۹. This study is useful in the planning process of an airport, airline, and other stakeholders involved in Nigeria’s air transportation. It will help to prevent problems of having excess air transport demand over air transport supply or having excess air transport supply over demand.

Forecasting, Domestic Air Passenger Demand, Single Moving Average, Simple Exponential Smoothing