Forecasting with time series and regression models in commuter rail in South Africa

Abstract

Developing an explanatory quantitative statistical model based on time series analysis and regression models for time series, for explanation of the factors impacting ticket sales and therefore fare revenue in commuter rail in South Africa and using this quantitative model(s) to forecast demand in commuter rail usage for fare revenue purposes.