Acknowledgement
This work was supported by the 2019 Yeungnam University Research Grant
References
- Box, George EP, and George C. Tiao (1975), "Intervention analysis with applications to economic and environmental problems", Journal of the American Statistical association, 70(349), 70-79. https://doi.org/10.1080/01621459.1975.10480264
- Dragan, D. and T. Kramberger (2014), "Forecasting the Container Throughput in the Port of Koper using Time Series ARIMA model", Proceedings of the conference ICLST, 14.
- Farhan, J. and G. P. Ong (2018), "Forecasting seasonal container throughput at international ports using SARIMA models", Maritime Economics&Logistics, 20(1), 131-148. https://doi.org/10.1057/mel.2016.13
- G. De Jong, H. Gunn and W. Walker, (2004), "National and international freight transport models: An overview and ideas for future development", Transport Reviews, 24(1), 103-124. https://doi.org/10.1080/0144164032000080494
- Go. Yong-Gi, et al (2008), "Forecasting Export Loaded Container Throughput of Incheon Port", Journal of Korea Port Economic Association 24(3), 57-77.
- Jeong, Su-hyun, and Chang-Hoon Shin (2016), "A Study on the Impact of the Financial Crises on Container Throughput of Busan Port", Journal of Korea Port Economic Associatin, 32(2), 25-37.
- Jo, Jun-Ho, Je-Seop Byon and Hee-Cheul Kim (2017), "Analysis of Global Shipping Market Status and Forecasting the Container Freight Volume of Busan New port using Time-series Mode", jkiiect, 10, 295-303.
- Kim, Chang-Beom (2015), "Forecasting the Seaborne Trade Volume using Intervention Multiplicative Seasonal ARIMA and Artificial Neural Network Model", Journal of Korea Port Economic Association, 31(1), 69-84
- Lewis, Colin David (1982), Industrial and business forecasting methods: A practical guide to exponential smoothing and curve fitting. Butterworth-Heinemann
- Min, Kyung-Chang and Hun-Koo Ha (2014). "Forecasting the Korea's Port Container Volumes With SARIMA Model", Journal of Korean Society of Transportation 32(6), 600-614. https://doi.org/10.7470/jkst.2014.32.6.600
- Suh, Bo-Hyoun, Tae-Woong YANG and Hun-Koo HA (2017), "Application of SARIMA Model in Air Cargo Demand Forecasting: Focussing on Incheon-North America Routes", Journal of Korean Society of Transportation 35(2), 143-159.
- Shin, Chang-Hoon and Su-Hyun Jeong (2011), "A study on application of ARIMA and neural networks for time series forecasting of port traffic", Journal of Navigation and Port Research, 35(1), 83-91. https://doi.org/10.5394/KINPR.2011.35.1.83
- Silva, Emmanuel Sirimal, and Hossein Hassani (2015), "On the use of singular spectrum analysis for forecasting US trade before, during and after the 2008 recession", International Economics 141, 34-49. https://doi.org/10.1016/j.inteco.2014.11.003
- Wei, Yu and Mu-Chen Chen (2012), "Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks", Transportation Research Part C: Emerging Technologies, 21(1), 148-162. https://doi.org/10.1016/j.trc.2011.06.009
- Yi, Ghae-Deug (2013), "Forecasting the Container Throughput of the Busan Port using a Seasonal Multiplicative ARIMA Model", Journal of Korea Port Economic Association, 29(3), 1-23.
- Yoo, Sang-Lok, et al (2014), "A prediction of marine traffic volume using artificial neural network and time series analysis", Journal of the Korean Society of Marine Environment &Safety, 20(1), 33-41. https://doi.org/10.7837/kosomes.2014.20.1.033
- Yoon, Han-Young, and Sung-Sik Park (2019), "Analysis and Estimation of Food and Beverage Sales at Incheon Int'l Airport by ARIMA-Intervention Time Series Model", Journal of the korea Academia-Industrial cooperation Society, 20(2), 458-468. https://doi.org/10.5762/KAIS.2019.20.2.458