| Id | 2781 | |
| Author | Boeing G.; Higgs C.; Liu S.; Giles-Corti B.; Sallis J.F.; Cerin E.; Lowe M.; Adlakha D.; Hinckson E.; Moudon A.V.; Salvo D.; Adams M.A.; Barrozo L.V.; Bozovic T.; Delclòs-Alió X.; Dygrýn J.; Ferguson S.; Gebel K.; Ho T.P.; Lai P.-C.; Martori J.C.; Nitvimol K.; Queralt A.; Roberts J.D.; Sambo G.H.; Schipperijn J.; Vale D.; Van de Weghe N.; Vich G.; Arundel J. | |
| Title | Using open data and open-source software to develop spatial indicators of urban design and transport features for achieving healthy and sustainable cities | |
| Reference | Boeing G.; Higgs C.; Liu S.; Giles-Corti B.; Sallis J.F.; Cerin E.; Lowe M.; Adlakha D.; Hinckson E.; Moudon A.V.; Salvo D.; Adams M.A.; Barrozo L.V.; Bozovic T.; Delclòs-Alió X.; Dygrýn J.; Ferguson S.; Gebel K.; Ho T.P.; Lai P.-C.; Martori J.C.; Nitvimol K.; Queralt A.; Roberts J.D.; Sambo G.H.; 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,The Lancet Global Health 10 6 |
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| Keywords | Cities; Global Health; Health Status; Humans; Software; Spatial Analysis; city; crowdsourcing; health equity; human; human experiment; learning; open source software; physical activity; review; walking; city; global health; health status; software; spatial analysis |
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| Link to article | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129911523&doi=10.1016%2fS2214-109X%2822%2900072-9&partnerID=40&md5=eeb0159e47e74a6e7e5b39e10c8620c4 |
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| 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. © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license |
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| Metodology | Technique |
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