Forecasting the Air Passenger Volume in Singapore: An Evaluation of Time-Series Models
Volume 3, Issue 3 GUO RUI, ZHONG ZHAOWEI
Published online: 22 June 2017
Article Views: 50
Abstract
This paper explores various methods to predict air passenger movements and analyzes and compares the relative results of corresponding models. Due to the increasing development of air transport technology, air passenger movements have been growing dynamically. Therefore it is necessary to have a good forecasting model suitable for Singapores situation. 8 time-series models were simulated for 18 years of prediction from 1998 to 2015 in the study and were compared based on their forecasting error measurements. Finally, appropriate models for Singapores situation are recommended. Afterward, forecasting for the next 18 years is conducted to have an idea about the future development. Accurate forecasting information will lead to appropriate timing for facility construction with minimum effect on service. In addition, the long-term forecasting will also provide information for aircraft ordering and design in consideration of bigger aircraft to carry more passengers.
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To Cite this article
G. Rui and Z. Zhaowei, “Forecasting the air passenger volume in singapore: An evaluation of time-series models,” International Journal of Technology and Engineering Studies, vol. 3, no. 3, pp. 117-123, 2017.
