Forecasting the Air Passenger Volume in Singapore: An Evaluation of TimeSeries Models

Guo Rui and Zhong Zhaowei
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Guo Rui: School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
Zhong Zhaowei: School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore

International Journal of Technology and Engineering Studies, 2017, vol. 3, issue 3, 117-123

Abstract: Nowadays due to the increasing development of the air transport technology, air passenger movements have been growing dynamically. Therefore it is necessary to have a good forecasting model suitable for Singapores situation. This paper explores various methods to predict the air passenger movements, and analyzes and compares the relative results obtained using corresponding models. 8 time-series models were simulated for 18 years 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. Afterwards, forecasting for the next 18 years is conducted to have an idea about the future development.

Keywords: Air Passenger Volume; Time-Series Models; Long-Term Forecasting (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:apa:ijtess:2017:p:117-123

DOI: 10.20469/ijtes.3.40004-3

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