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

Description

Study Supervisor: Dr Jan Kruger
Completed: 2008 / 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.

Links & Downloads

1. http://hdl.handle.net/10500/3129

Tags

Commuter rail transport

Metrorail

Additional Fields

Identifer	oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:umkn-dsp01.int.unisa.ac.za:10500/3129
Date	02 March 2010
Creators	Lubbe, Anna-Marie
Source Sets	South African National ETD Portal
Language	English
Detected Language	English
Type	Thesis