Using open data and open-source software to develop spatial indicators of urban design and transport features for achieving healthy and sustainable cities.

Boeing, G; Higgs, C; Liu, S; Giles-Corti, B; Sallis, JF; Cerin, E; Lowe, M; Adlakha, D; Hinckson, E; Moudon, AV; Salvo, D; Adams, MA; Barrozo, LV; Bozovic, T; Delclòs-Alió, X; Dygrýn, J; Ferguson, S; Gebel, K; Ho, TP; Lai, P-C; Martori, JC; Nitvimol, K; Queralt, A; Roberts, JD; Sambo, GH; Schipperijn, J; Vale, D; Van de Weghe, N; Vich, G; Arundel, J

Using open data and open-source software to develop spatial indicators of urban design and transport features for achieving healthy and sustainable cities.

Boeing, G Higgs, C Liu, S Giles-Corti, B Sallis, JF Cerin, E Lowe, M Adlakha, D Hinckson, E Moudon, AV Salvo, D Adams, MA Barrozo, LV Bozovic, T Delclòs-Alió, X Dygrýn, J Ferguson, S Gebel, K

Ho, TP Lai, P-C Martori, JC Nitvimol, K Queralt, A Roberts, JD Sambo, GH Schipperijn, J Vale, D Van de Weghe, N Vich, G Arundel, J

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Lancet Glob Health, 2022, 10, (6), pp. e907-e918
Issue Date:: 2022-06

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Field	Value	Language
dc.contributor.author	Boeing, G
dc.contributor.author	Higgs, C
dc.contributor.author	Liu, S
dc.contributor.author	Giles-Corti, B
dc.contributor.author	Sallis, JF
dc.contributor.author	Cerin, E
dc.contributor.author	Lowe, M
dc.contributor.author	Adlakha, D
dc.contributor.author	Hinckson, E
dc.contributor.author	Moudon, AV
dc.contributor.author	Salvo, D
dc.contributor.author	Adams, MA
dc.contributor.author	Barrozo, LV
dc.contributor.author	Bozovic, T
dc.contributor.author	Delclòs-Alió, X
dc.contributor.author	Dygrýn, J
dc.contributor.author	Ferguson, S
dc.contributor.author	Gebel, K https://orcid.org/0000-0003-0330-7756
dc.contributor.author	Ho, TP
dc.contributor.author	Lai, P-C
dc.contributor.author	Martori, JC
dc.contributor.author	Nitvimol, K
dc.contributor.author	Queralt, A
dc.contributor.author	Roberts, JD
dc.contributor.author	Sambo, GH
dc.contributor.author	Schipperijn, J
dc.contributor.author	Vale, D
dc.contributor.author	Van de Weghe, N
dc.contributor.author	Vich, G
dc.contributor.author	Arundel, J
dc.date.accessioned	2022-07-26T09:17:08Z
dc.date.available	2022-02-10
dc.date.available	2022-07-26T09:17:08Z
dc.date.issued	2022-06
dc.identifier.citation	Lancet Glob Health, 2022, 10, (6), pp. e907-e918
dc.identifier.issn	2214-109X
dc.identifier.issn	2214-109X
dc.identifier.uri	http://hdl.handle.net/10453/159182
dc.description.abstract	Benchmarking and monitoring of urban design and transport features is crucial to achieving local and international health and sustainability goals. However, most urban indicator frameworks use coarse spatial scales that either only allow between-city comparisons, or require expensive, technical, local spatial analyses for within-city comparisons. This study developed a reusable, open-source urban indicator computational framework using open data to enable consistent local and global comparative analyses. We show this framework by calculating spatial indicators-for 25 diverse cities in 19 countries-of urban design and transport features that support health and sustainability. We link these indicators to cities' policy contexts, and identify populations living above and below critical thresholds for physical activity through walking. Efforts to broaden participation in crowdsourcing data and to calculate globally consistent indicators are essential for planning evidence-informed urban interventions, monitoring policy effects, and learning lessons from peer cities to achieve health, equity, and sustainability goals.
dc.format	Print
dc.language	eng
dc.publisher	Elsevier BV
dc.relation.ispartof	Lancet Glob Health
dc.relation.isbasedon	10.1016/S2214-109X(22)00072-9
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0605 Microbiology, 1117 Public Health and Health Services
dc.subject.mesh	Cities
dc.subject.mesh	Global Health
dc.subject.mesh	Health Status
dc.subject.mesh	Humans
dc.subject.mesh	Software
dc.subject.mesh	Spatial Analysis
dc.subject.mesh	Humans
dc.subject.mesh	Cities
dc.subject.mesh	Health Status
dc.subject.mesh	Software
dc.subject.mesh	Spatial Analysis
dc.subject.mesh	Global Health
dc.title	Using open data and open-source software to develop spatial indicators of urban design and transport features for achieving healthy and sustainable cities.
dc.type	Journal Article
utslib.citation.volume	10
utslib.location.activity	England
utslib.for	0605 Microbiology
utslib.for	1117 Public Health and Health Services
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Public Health
utslib.copyright.status	open_access	*
dc.date.updated	2022-07-26T09:17:01Z
pubs.issue	6
pubs.publication-status	Published
pubs.volume	10
utslib.citation.issue	6

Abstract:

Benchmarking and monitoring of urban design and transport features is crucial to achieving local and international health and sustainability goals. However, most urban indicator frameworks use coarse spatial scales that either only allow between-city comparisons, or require expensive, technical, local spatial analyses for within-city comparisons. This study developed a reusable, open-source urban indicator computational framework using open data to enable consistent local and global comparative analyses. We show this framework by calculating spatial indicators-for 25 diverse cities in 19 countries-of urban design and transport features that support health and sustainability. We link these indicators to cities' policy contexts, and identify populations living above and below critical thresholds for physical activity through walking. Efforts to broaden participation in crowdsourcing data and to calculate globally consistent indicators are essential for planning evidence-informed urban interventions, monitoring policy effects, and learning lessons from peer cities to achieve health, equity, and sustainability goals.

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http://hdl.handle.net/10453/159182