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One of the products that eventually came forth was ARIA+, a system that creates an index, with values ranging from 0 (high accessibility) to 15 (high remoteness), based on road distance measurements from over 12,000 populated localities to the nearest urban areas in five categories based on population size.
The ARIA represents the remoteness of residence when diagnosed with CRC and is based on road distance measurements.
This measures the remoteness of a physical location based on road distance to the nearest urban centre(s).
The ASGC classification categorises areas of residence as 'major cities', 'inner regional'outerteregionalal'remoteote' and 'very remote' based on road distance from a locality to the closest service centre.
Similarly, residential remoteness as measured by the Accessibility/Remoteness Index of Australia (ARIA) [ 27] and based on road distance to service centers was not significantly related to dental fear.
The Accessibility/Remoteness Index of Australia (ARIA+) classification system was used to define place of residence as either major city, inner regional, outer regional, remote or very remote, and is based on road distance and population size of the nearest town [ 23].
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ARIA calculates remoteness as accessibility to some 201 service centres based on road distances.
The address of usual residence at CRC diagnosis was grouped according to their level of geographic remoteness using the Australian Standard Geographical Classification Remoteness Index [ 26], which is a purely geographic measure of remoteness based on road distances from population centers to various levels of service provision (see Table 1 for categories).
Moreover, more complex methodologies which take into account network distances – the distance to an outlet based on road and footpath measurements – can be adapted to explore these relationships.
Residential distance to major roads (based on road classification, not intensity) was calculated in ArcGIS 9.3 using the Tele Atlas MultiNet (http://www.spatialinsights.com/catalog/product.aspx?product=95).
Fig. 13 Backprojection probability map based on road region model.
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based on road protection
based on road region
based on road map
based on road name
based on road traffic
based on road classification
based on time distance
based on minimum distance
based on road segmentation
based on road surveillance
based on pairwise distance
based on road testing
based on road network
based on road condition
based on road safety
based on road usage
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com