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Policy relevant health related liveability indicator datasets for addresses in Australia’s 21 largest cities

Measuring and monitoring the spatial distribution of liveability is crucial to ensure that implemented urban and transport planning decisions support health and wellbeing. Spatial liveability indicators can be used to ensure these decisions are effective, equitable and tracked across time. The 2018...

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Autores principales: Higgs, Carl, Lowe, Melanie, Hooper, Paula, Mavoa, Suzanne, Arundel, Jonathan, Gunn, Lucy, Simons, Koen, Giles-Corti, Billie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968286/
https://www.ncbi.nlm.nih.gov/pubmed/36841876
http://dx.doi.org/10.1038/s41597-023-02013-5
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author Higgs, Carl
Lowe, Melanie
Hooper, Paula
Mavoa, Suzanne
Arundel, Jonathan
Gunn, Lucy
Simons, Koen
Giles-Corti, Billie
author_facet Higgs, Carl
Lowe, Melanie
Hooper, Paula
Mavoa, Suzanne
Arundel, Jonathan
Gunn, Lucy
Simons, Koen
Giles-Corti, Billie
author_sort Higgs, Carl
collection PubMed
description Measuring and monitoring the spatial distribution of liveability is crucial to ensure that implemented urban and transport planning decisions support health and wellbeing. Spatial liveability indicators can be used to ensure these decisions are effective, equitable and tracked across time. The 2018 Australian National Liveability Study datasets comprise a suite of policy-relevant health-related spatial indicators of local neighbourhood liveability and amenity access estimated for residential address points and administrative areas across Australia’s 21 most populous cities. The indicators and measures encompass access to community and health services, social infrastructure, employment, food, housing, public open space, transportation, walkability and overall liveability. This national ’baseline’ liveability indicators dataset for residential address points and areas can be further linked with surveys containing geocoded participant locations, as well as Census data for areas from the Australian Statistical Geography Standard. The datasets will be of interest to planners, policy makers and researchers interested in modelling and mapping the spatial distribution of urban environmental exposures and their relationship with health and other outcomes.
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spelling pubmed-99682862023-02-27 Policy relevant health related liveability indicator datasets for addresses in Australia’s 21 largest cities Higgs, Carl Lowe, Melanie Hooper, Paula Mavoa, Suzanne Arundel, Jonathan Gunn, Lucy Simons, Koen Giles-Corti, Billie Sci Data Data Descriptor Measuring and monitoring the spatial distribution of liveability is crucial to ensure that implemented urban and transport planning decisions support health and wellbeing. Spatial liveability indicators can be used to ensure these decisions are effective, equitable and tracked across time. The 2018 Australian National Liveability Study datasets comprise a suite of policy-relevant health-related spatial indicators of local neighbourhood liveability and amenity access estimated for residential address points and administrative areas across Australia’s 21 most populous cities. The indicators and measures encompass access to community and health services, social infrastructure, employment, food, housing, public open space, transportation, walkability and overall liveability. This national ’baseline’ liveability indicators dataset for residential address points and areas can be further linked with surveys containing geocoded participant locations, as well as Census data for areas from the Australian Statistical Geography Standard. The datasets will be of interest to planners, policy makers and researchers interested in modelling and mapping the spatial distribution of urban environmental exposures and their relationship with health and other outcomes. Nature Publishing Group UK 2023-02-25 /pmc/articles/PMC9968286/ /pubmed/36841876 http://dx.doi.org/10.1038/s41597-023-02013-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Higgs, Carl
Lowe, Melanie
Hooper, Paula
Mavoa, Suzanne
Arundel, Jonathan
Gunn, Lucy
Simons, Koen
Giles-Corti, Billie
Policy relevant health related liveability indicator datasets for addresses in Australia’s 21 largest cities
title Policy relevant health related liveability indicator datasets for addresses in Australia’s 21 largest cities
title_full Policy relevant health related liveability indicator datasets for addresses in Australia’s 21 largest cities
title_fullStr Policy relevant health related liveability indicator datasets for addresses in Australia’s 21 largest cities
title_full_unstemmed Policy relevant health related liveability indicator datasets for addresses in Australia’s 21 largest cities
title_short Policy relevant health related liveability indicator datasets for addresses in Australia’s 21 largest cities
title_sort policy relevant health related liveability indicator datasets for addresses in australia’s 21 largest cities
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968286/
https://www.ncbi.nlm.nih.gov/pubmed/36841876
http://dx.doi.org/10.1038/s41597-023-02013-5
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