The Australian National Liveability Study 2018 datasets: spatial urban liveability indicators for 21 cities

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Higgs, Carl;Rozek, Julianna;Roberts, Rebecca;Both, Alan;Arundel, Jonathan;Lowe, Melanie;Hooper, Paula;Villanueva, Karen;Simons, Koen;Mavoa, Suzanne;Gunn, Lucy;Badland, Hannah;Davern, Melanie;Giles-Corti, Billie

Description

The final Australian National Liveability Study 2018 datasets comprise a suite of policy relevant spatial indicators of local neighbourhood liveability and amenity access estimated for residential address points across Australia's 21 largest cities, and summarised at range of larger area scales (Mesh Block, Statistical Areas 1-4, Suburb, LGA, and overall city summaries). The indicators and measures included encompass topics including community and health services, employment, food, housing, public open space, transportation, walkability and overall liveability. The datasets were produced through analysis of built environment and social data from multiple sources including OpenStreetMap the Australian Bureau of Statistics, and public transport agency GTFS feed data. These are provided in CSV format under an Open Data Commons Open Database licence. The 2018 Australian National Liveability data will be of interest to planners, population health and urban researchers with an interest in the spatial distribution of built environment exposures and outcomes for data linkage, modelling and mapping purposes. Area level summaries for the data were used to create the indicators for the Australian Urban Observatory at its launch in 2020. The spatial data were developed by the Healthy Liveable Cities Lab, Centre for Urban Research with funding support provided from the Australian Prevention Partnership Centre #9100003, NESP Clean Air and Urban Landscapes Hub, NHMRC Centre of Research Excellence in Healthy, Liveable Communities #1061404 and an NHMRC Senior Principal Research Fellowship GNT1107672; with interactive spatial indicator maps accessible via the Australian Urban Observatory. Any publications utilising the data are not necessarily the view of or endorsed by RMIT University or the Centre of Urban Research. RMIT excludes all liability for any reliance on the data.

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Metrics

Dataset Index

0.8

FAIR Score

100%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

RMIT University

License

ODC-By

Assigned Domain

Subfield

Nature and Landscape Conservation

Field

Environmental Science

Domain

Physical Sciences

Confidence Score

50%

Source

Scholar Data Model

Keywords

Urban analysis and developmentLand use and environmental planningEpidemiology not elsewhere classifiedOccupational and workplace health and safety

Normalization Factors

FT

40.38

CTw

1.00

MTw

1.00