Butt_A_Fish_B_Amenity, landscape and forms of peri-urbanisation around Melbourne, Australia
1. Amenity, landscape and forms of periurbanisation around Melbourne, Australia
Andrew Butt (La Trobe University)
Bill Fish (Spatial Vision Innovation Pty Ltd)
Beyond the Edge 2013 – La Trobe University, Melbourne
2. Peri-urbanization? Counter-urbanization? Multifunctional landscapes?
A broad conception of a region:
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Areas directly ‘urbanising’
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Areas influenced by urban-generated land markets
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Areas influenced by various modes of ‘counterurbanization’
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Amenity, accessibility, affordability – an interplay of factors
Peri-urban Conference October 2013
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5. Socio-economic processes are varied…
A series of processes emerge from the literature and empirical
work, including:
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Exurbanisation: higher cost land markets, purchasing an
accessible rural lifestyle
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‘Displaced’ suburbia – suburban growth performed beyond
the fringe
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Retiree mobility – at varied income levels
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‘Welfare-led’ migration, especially in the high-cost
Australian metropolitan housing markets
These overlap socially and spatially
La Trobe University
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10. Our approach
Considering a geography of these processes of change in a
geographically wide ‘peri-urban’ field
Using a set of proxy indicators to test change – based on
inward migration 2006-2011
Considering the relationship between these, and relationships
with a set of location factors of ‘attraction’
Testing indicators and concepts – are they fit for purpose?
La Trobe University
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11. The data sources
Census 2011:
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usual residence 2011 for those with a different SA2
address in 2006
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Cross-tabulated with selected socio-economic
categories (age, income, occupation)
Location database (GIS):
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Developed from a lot/property-based attractiveness
index of development ‘pressure’
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Average scores (indexed) aggregated for all within each
SA2
La Trobe University
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12. The indicators
high income
‘professional’ occupations
average proximity to main
roads
low income
…proximity to rail nodes
unemployed
…proximity and density of
native ‘woody’ vegetation
age 55-74
not in labour force
age under 15 years
…proximity and density of
‘landscape’ features (SLO,
ESO, Parks)
‘driver/labourer/machinery
operator’ occupations
La Trobe University
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13. Geography of Indicators
Clusters of each type; good correlations between them
La Trobe University
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20. Location and socio-economic change
Regression models: location factors as dependent, all models
show significance, but..
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Some variables (professionals, higher income,
children/families) show better influence than others
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Professionals – landscape
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Higher income/u15 – non-vegetated regions
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Lower income and rail, retiree and non-rail
La Trobe University
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21. The limits to attractiveness
• Issues in understanding aggregate ‘attractiveness’ factors
• Complexity and inter-connections of social and economic
processes
• New in-migrants and relationships to extant populations
• Relationships between peri-urbanization, counter-urbanization
and the formation of multi-functional landscapes
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