2013Mediterranean Journal of Social SciencesOpen access

The Determinants of Domestic Air Passenger Demand in the Republic of South Africa

Olebogeng Ambrocius Baikgaki, Olebogeng David Daw

Open full text 26 citations

Abstract

Analysing air passenger market is an integral part of air transport industry and form part of corporate planning process. This paper seeks to assess the determinants of domestic air passenger demand in the Republic of South Africa. The methodology used involved collection of data for passenger movements in South Africa for the period 1971 – 2012 to determine the pattern of air travels. Data on macro and micro-economic variables considered to affect demand for air passenger travel were also collected. Multiple regression method was then used to develop models of demand in respect of air passenger movement. An attempt was made to develop models for domestic air passenger travel demand in the country with different combinations of explanatory variables utilising a stepwise regression technique. The model, which has the total consumption, population size, airfares and oil prices as the explanatory variables, is the most appropriate model to represent the demand for domestic air passenger travel in South Africa. The rest of the models discussed suffer from multicollinearity. The model selected may be used to identify and measure the relations between domestic air passenger demand and the economic and demographic factors in South Africa. DOI: 10.5901/mjss.2013.v4n13p389

Open-access reader

About this research paper

What this paper is about

Analysing air passenger market is an integral part of air transport industry and form part of corporate planning process. This paper seeks to assess the determinants of domestic air passenger demand in the Republic of South Africa. The methodology used involved collection of data for passenger movements in South Africa for the period 1971 – 2012 to determine the pattern of air travels. Data on macro and micro-economic variables considered to affect demand for air passenger travel were also collected. Multiple regression method was then used to develop models of demand in respect of air passenger movement. An attempt was made to develop models for domestic air passenger travel demand in the country with different combinations of explanatory variables utilising a stepwise regression technique. The model, which has the total consumption, population size, airfares and oil prices as the explanatory variables, is the most appropriate model to represent the demand for domestic air passenger travel in South Africa. The rest of the models discussed suffer from multicollinearity. The model selected may be used to identify and measure the relations between domestic air passenger demand and the economic and demographic factors in South Africa. DOI: 10.5901/mjss.2013.v4n13p389

Why it matters

OpenAlex reports 26 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Analysing air passenger market is an integral part of air transport industry and form part of corporate planning process. This paper seeks to assess the determinants of domestic air passenger demand in the Republic of South Africa. The methodology used involved collection of data for passenger movements in South Africa for the period 1971 – 2012 to determine the pattern of air travels. Data on macro and micro-economic variables considered to affect demand for air passenger travel were also collected. Multiple regression method was then used to develop models of demand in respect of air passenger movement. An attempt was made to develop models for domestic air passenger travel demand in the country with different combinations of explanatory variables utilising a stepwise regression technique. The model, which has the total consumption, population size, airfares and oil prices as the explanatory variables, is the most appropriate model to represent the demand for domestic air passenger travel in South Africa. The rest of the models discussed suffer from multicollinearity. The model selected may be used to identify and measure the relations between domestic air passenger demand and the economic and demographic factors in South Africa. DOI: 10.5901/mjss.2013.v4n13p389

Key concepts: Multicollinearity, Air travel, Passenger transport, Consumption (sociology), Air transport, Regression analysis, Population, Economics

Related papers

Back to paper searchBrowse research topicsOriginal source
The Determinants of Domestic Air Passenger Demand in the Republic of South Africa — Research Paper | ScholarLens