Forecasting Ticket Sales – the Case of Commuter Rail in South Africa

J. Kruger, Anna-Marie
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Abstract

The application of quantitative statistical modelling in the commuter rail environment is explored in this research paper. The research explored the application of various time series models as well as the ARIMA model and regression analysis. The application of two forecast combinations was also explored to improve the accuracy of the forecasts. The ARIMA model in combination with the seasonal decomposition was used to forecast the data for a period of 18 months.
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预测车票销售——以南非通勤铁路为例
本文探讨了定量统计模型在通勤轨道交通环境中的应用。本研究探索了各种时间序列模型的应用,以及ARIMA模型和回归分析。探讨了两种预报组合的应用,以提高预报的准确性。采用ARIMA模型结合季节分解对18个月的数据进行预测。
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