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PDF: 5191 KB - Bureau of Infrastructure, Transport and Regional ...

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Chapter 6Air services in regionalcommunities6.1 IntroductionThe adequacy <strong>of</strong> air services to small <strong>and</strong> rural regional airports has always been <strong>of</strong>particular interest to policy makers. In Chapter 2, it was shown that the decline in thenumber <strong>of</strong> regional airports was largely attributed to the decline in the number <strong>of</strong>rural airports. Most <strong>of</strong> these rural airports are in very remote Australia. The limitedlevel <strong>of</strong> air services provided to these communities is <strong>of</strong>ten associated with their smallpopulation base. In addition, factors such as level <strong>of</strong> economic activity, proximity tolarger airports <strong>and</strong>/or the availability <strong>of</strong> other modes <strong>of</strong> transport may also limit airlineentry at airports serving small <strong>and</strong> rural communities. The association between thesefactors <strong>and</strong> the level <strong>of</strong> air services a community receives is tied to a complex set<strong>of</strong> interconnected social <strong>and</strong> economic factors. The pattern <strong>of</strong> socio-demographicpr<strong>of</strong>iles <strong>of</strong> communities with or without close access to air services is <strong>of</strong>ten shapedby a dynamic process. That process has been driven by a combination <strong>of</strong> major orgradual social, economic, demographic, technological <strong>and</strong> political transformationsover the years. These economic <strong>and</strong> social changes across Australia have impacteddifferentially on localities (Baum, S. et al. 1999).This chapter explores the fundamental associations between the distribution <strong>of</strong>population in urban centres <strong>and</strong> localities (UC/Ls) by airport size (based on airportclassification) 9 <strong>and</strong> some key socio-demographic factors 10 . The analyses in thefollowing sections are based on the spatial analysis assumptions outlined in Chapter 4.The population <strong>and</strong> UC/Ls numbers were estimated using the assumed distance <strong>of</strong>40 km radius from small <strong>and</strong> rural airports <strong>and</strong> 120 km radius from large <strong>and</strong> mediumairports. It was also assumed that if a UC/L is located within the access distance <strong>of</strong>two or more airports <strong>of</strong> different sizes, the UC/L is categorised as a location withaccess to the largest airport within the assumed access distance.As discussed in section 1.6, regional airports are categorised into sizes (i.e. large,medium, small <strong>and</strong> rural) according to annual passenger movements. In 2005, therewere 20 large regional airports, 31 medium regional airports, 38 small airports <strong>and</strong>82 rural airports serving in regional areas (Figure 6.1). It is worth noting that, whilethe small <strong>and</strong> rural regional airports are large in numbers, passenger movementsfrom these airports constituted only 5.65 per cent <strong>of</strong> the total number <strong>of</strong> passengermovement at all regional airports in 2005. Using the data from 2005, the followinganalyses examine how various key factors were associated with the distribution <strong>of</strong>population <strong>and</strong> UC/Ls by airport size.9. Airport classification is assigned to each regional airport based on passenger movement data from 2005.10. The socio-demographic data was based on a customised table requested from the ABS census data 2001. Fourvariables by UC/Ls were provided. They are population, mean individual weekly income, mean individual weeklymanufacturing income <strong>and</strong> labour force status (employment).163

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