수요감소 요인 외생변수를 갖는 SARIMAX 모형을 이용한 관광수요 예측
Forecasting Foreign Visitors using SARIMAX Models with the Exogenous Variable of Demand Decrease
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초록
In this study, we consider the problem of forecasting the number of inbound foreigners visiting Korea. Forecasting tourism demand is an essential decision to plan related facilities and staffs, thus many studies have been carried out, mainly focusing on the number of inbound or outbound tourists. In order to forecast tourism demand, we use a seasonal ARIMA (SARIMA) model, as well as a SARIMAX model which additionally comprises an exogenous variable affecting the dependent variable, i.e., tourism demand. For constructing the forecasting model, we use a search procedure that can be used to determine the values of the orders of the SARIMA and SARIMAX. For the exogenous variable, we introduce factors that could cause the tourism demand reduction, such as the 9/11 attack, the SARS and MERS epidemic, and the deployment of THAAD. In this study, we propose a procedure, called Measuring Impact on Demand (MID), where the impact of each factor on tourism demand is measured and the value of the exogenous variable corresponding to the factor is determined based on the measurement. To show the performance of the proposed forecasting method, an empirical analysis was conducted where the monthly number of foreign visitors in 2019 were forecasted. It was shown that the proposed method can find more accurate forecasts than other benchmarks in terms of the mean absolute percentage error (MAPE).
Abstract
In this study, we consider the problem of forecasting the number of inbound foreigners visiting Korea. Forecasting tourism demand is an essential decision to plan related facilities and staffs, thus many studies have been carried out, mainly focusing on the number of inbound or outbound tourists. In order to forecast tourism demand, we use a seasonal ARIMA (SARIMA) model, as well as a SARIMAX model which additionally comprises an exogenous variable affecting the dependent variable, i.e., tourism demand. For constructing the forecasting model, we use a search procedure that can be used to determine the values of the orders of the SARIMA and SARIMAX. For the exogenous variable, we introduce factors that could cause the tourism demand reduction, such as the 9/11 attack, the SARS and MERS epidemic, and the deployment of THAAD. In this study, we propose a procedure, called Measuring Impact on Demand (MID), where the impact of each factor on tourism demand is measured and the value of the exogenous variable corresponding to the factor is determined based on the measurement. To show the performance of the proposed forecasting method, an empirical analysis was conducted where the monthly number of foreign visitors in 2019 were forecasted. It was shown that the proposed method can find more accurate forecasts than other benchmarks in terms of the mean absolute percentage error (MAPE).
참고문헌 (13)
- Choi, H. K., "A Study on the Forecasting Technique Tourism Demand", Journal of Tourism Systems and Quality Management, 7(3), pp.219~238 (2001)
- Choi, Y. M., "Improvement of Accuracy in Forecasting Tourism Demand", Journal of Tourism Sciences, 22(3), pp.222~242 (1999)
- Hyndman, R.J., "Forecasting :principles and practice" (2018), OTexts
- 김삼용, "관광 수요 예측 모형의 계절효과에 대한 연구", 응용통계연구, 24(1), pp.93~102 (2011), 한국통계학회
- Analysis of Inter-national Tourism Demand Factors and their Impacts in Korea, "Lee, K. W.", Korea Culture and Toursim Institute, ~, pp.Research Report 2017-04 (2017)
- 임성식, "관광객 수요예측모형 정확성 비교연구", 한국데이터정보과학회지, 29(6), pp.1629~1641 (2018), 한국데이터정보과학회[DOI]
- 박득희, "지속가능한 관광성장을 위한 방한 일본인 관광객 수요예측: 시계열 계량 모형 적용", 관광연구저널, 34(3), pp.47~60 (2020), 한국관광연구학회[DOI]
- 박득희, "방한 중국 관광객 수요 예측모델의 비교 연구", 관광연구저널, 29(3), pp.29~40 (2015), 한국관광연구학회
- Park, S., "Short-term forecasting of Japanese tourist inflow to South Korea using Google trends data", Journal of Travel and Tourism Marketing, 34(3), pp.357~368 (2017)
- 서헌, "국가 관광정책 타당성 연구: 5대 관광혁신전략을 대상으로", 관광레저연구, 32(4), pp.371~387 (2020), (사)한국관광레저학회
- Song, H., "Tourism demand modelling and forecasting-A review of recent research", Tourism Mana-gement, 29, pp.203~220 (2018)
- Song, H., "A review of research on tourism demand forecasting : Launching the Annals of Tourism Research Curated Collection on tourism de-mand forecasting", Annals of Tourism Research, 75, pp.338~362 (2019)
- 송근석, "관광수요 예측모형의 정확성 비교", 관광연구저널, 20(2), pp.351~369 (2006), 한국관광연구학회