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

Lubbe, Anna-Marie

dc.contributor.advisor	Kruger, Jan
dc.contributor.author	Lubbe, Anna-Marie
dc.date.accessioned	2010-03-02T09:39:44Z
dc.date.available	2010-03-02T09:39:44Z
dc.date.issued	2010-03-02T09:39:44Z
dc.date.issued	2008
dc.identifier.uri	http://hdl.handle.net/10500/3129
dc.description.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.	en
dc.format.extent	1 online resource (i, 118 leaves) : illustrations, color graphs
dc.language.iso	en	en
dc.subject	Commuter rail transport	en
dc.subject	Metrorail	en
dc.subject.ddc	385.0968
dc.subject.lcsh	Railroads -- South Africa -- Commuting traffic
dc.subject.lcsh	Railroads -- Fares -- South Africa
dc.subject.lcsh	Railroad tickets -- South Africa -- Forecasting
dc.subject.lcsh	Railroads -- South Africa -- Management
dc.title	Forecasting with time series and regression models in commuter rail in South Africa	en
dc.type	Research Report	en
dc.description.department	Graduate School for Business Leadership
dc.description.degree	M.B.L.