TY - JOUR
T1 - Using open data and open-source software to develop spatial indicators of urban design and transport features for achieving healthy and sustainable cities
AU - Boeing, Geoff
AU - Higgs, Carl
AU - Liu, Shiqin
AU - Giles-Corti, Billie
AU - Sallis, James F.
AU - Cerin, Ester
AU - Lowe, Melanie
AU - Adlakha, Deepti
AU - Hinckson, Erica
AU - Moudon, Anne Vernez
AU - Salvo, Deborah
AU - Adams, Marc A.
AU - Barrozo, Ligia V.
AU - Bozovic, Tamara
AU - Delclòs-Alió, Xavier
AU - Dygrýn, Jan
AU - Ferguson, Sara
AU - Gebel, Klaus
AU - Ho, Thanh Phuong
AU - Lai, Poh Chin
AU - Martori, Joan C.
AU - Nitvimol, Kornsupha
AU - Queralt, Ana
AU - Roberts, Jennifer D.
AU - Sambo, Garba H.
AU - Schipperijn, Jasper
AU - Vale, David
AU - Van de Weghe, Nico
AU - Vich, Guillem
AU - Arundel, Jonathan
N1 - Publisher Copyright:
© 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
PY - 2022/6
Y1 - 2022/6
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85129911523&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85129911523&partnerID=8YFLogxK
U2 - 10.1016/S2214-109X(22)00072-9
DO - 10.1016/S2214-109X(22)00072-9
M3 - Review article
C2 - 35561725
AN - SCOPUS:85129911523
SN - 2214-109X
VL - 10
SP - e907-e918
JO - The Lancet Global Health
JF - The Lancet Global Health
IS - 6
ER -