2012
DOI: 10.1111/j.1468-2257.2012.00583.x
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Shaping the Rural–Urban Symbiosis: Density, Dispersal, Remoteness, and Town Size in South‐East Australia

Abstract: Within the context of economic and social change in rural Australia, this paper identifies four structural dimensions of non‐metropolitan communities that are shown to influence a range of areal and socio‐demographic characteristics. The analysis shows that such influence is essentially maintained whether the social catchments forming the database are subdivided by State or by an equivalent number of landscape types. Also, although the dimensions influence both the urban and dispersed elements of the communiti… Show more

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Cited by 2 publications
(3 citation statements)
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“…Likewise remoteness, stressed as a driver variable by so many writers, remains in the final model (used for Figures 5 and 6) only as a minor contributor. While this reinforces earlier findings on the importance of local density and relative dispersal as fundamental qualities of settlement systems (Griffin et al 2012), it does not of course mean that amenity, remoteness and towns size are unimportant: rather, the search for parsimony in the construction of the model may place perhaps too much emphasis on some of the driver variables, while excessively downplaying the influence of the rest. A likely explanation is that both remoteness and amenity are very strongly correlated with rural population density (Table 2), so that part of their influence is expressed indirectly through density, a very strong and dominant variable.…”
Section: Discussionsupporting
confidence: 78%
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“…Likewise remoteness, stressed as a driver variable by so many writers, remains in the final model (used for Figures 5 and 6) only as a minor contributor. While this reinforces earlier findings on the importance of local density and relative dispersal as fundamental qualities of settlement systems (Griffin et al 2012), it does not of course mean that amenity, remoteness and towns size are unimportant: rather, the search for parsimony in the construction of the model may place perhaps too much emphasis on some of the driver variables, while excessively downplaying the influence of the rest. A likely explanation is that both remoteness and amenity are very strongly correlated with rural population density (Table 2), so that part of their influence is expressed indirectly through density, a very strong and dominant variable.…”
Section: Discussionsupporting
confidence: 78%
“…Fourthly, as to density, the strong and consistent relationship between this variable (measured as net local density) and community population change, as well as a series of important spatial and socio-economic characteristics 1 of rural communities across south-eastern Australia has been demonstrated (Smailes et al 2002;Griffin et al 2012). High densities bespeak habitable and desirable rural areas with relatively small holdings, many opportunities for social interaction, and short travel distances..…”
Section: Identifying the Main Drivers Of Demographic Changementioning
confidence: 98%
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