Using open data and open-source software to develop spatial indicators of urban design and transport features for achieving healthy and sustainable cities
Journal article
Boeing, Geoff, Higgs, Carl, Liu, Shiqin, Giles-Corti, Billie, Sallis, James F., Cerin, Ester, Lowe, Melanie, Adlakha, Deepti, Hinckson, Erica, Vernez Moudon, Anne, Salvo, Deborah, Adams, Marc A., Barrozo, Ligia V., Bozovic, Tamara, Delclòs-Alió, Xavier, Dygrýn, Jan, Ferguson, Sara, Gebel, Klaus, Ho, Thanh Phuong, ... Arundel, Jonathan. (2022). 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), pp. 907-918. https://doi.org/10.1016/S2214-109X(22)00072-9
Authors | Boeing, Geoff, Higgs, Carl, Liu, Shiqin, Giles-Corti, Billie, Sallis, James F., Cerin, Ester, Lowe, Melanie, Adlakha, Deepti, Hinckson, Erica, Vernez Moudon, Anne, Salvo, Deborah, Adams, Marc A., Barrozo, Ligia V., Bozovic, Tamara, Delclòs-Alió, Xavier, Dygrýn, Jan, Ferguson, Sara, Gebel, Klaus, Ho, Thanh Phuong, Lai, Poh-Chin, Martori, Joan C., Nitvimol, Kornsupha, Queralt, Ana, Roberts, Jennifer D., Sambo, Garba H., Schipperijn, Jasper, Vale, David, Van de Weghe, Nico, Vich, Guillem and Arundel, Jonathan |
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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. |
Year | 2022 |
Journal | The Lancet Global Health |
Journal citation | 10 (6), pp. 907-918 |
Publisher | The Lancet Publishing Group |
ISSN | 2214-109X |
Digital Object Identifier (DOI) | https://doi.org/10.1016/S2214-109X(22)00072-9 |
PubMed ID | 35561725 |
Scopus EID | 2-s2.0-85129911523 |
PubMed Central ID | PMC9902524 |
Open access | Published as ‘gold’ (paid) open access |
Page range | 907-918 |
Funder | The Public Good Projects |
National Health and Medical Research Council (NHMRC) | |
Northeastern University | |
Gopher Sport | |
Australian Catholic University (ACU) | |
Washington University | |
Center for Diabetes Translation Research (CDTRs) | |
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institutes of Health | |
Centers for Disease Control and Prevention (CDC) | |
National Cancer Institute (NCI), National Institutes of Health | |
Conselho Nacional de Desenvolvimento Científico e Tecnológico | |
Publisher's version | License File Access Level Open |
Output status | Published |
Publication dates | |
Online | 10 May 2022 |
Publication process dates | |
Deposited | 14 Mar 2023 |
Grant ID | 1107672 |
1061404 | |
9100003 | |
1061404 | |
9100003 | |
P30DK092950 | |
U48DP006395 | |
R01CA198915 | |
304636/2020-7 |
https://acuresearchbank.acu.edu.au/item/8ywv9/using-open-data-and-open-source-software-to-develop-spatial-indicators-of-urban-design-and-transport-features-for-achieving-healthy-and-sustainable-cities
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Publisher's version
OA_Boeing_2022_Using_open_data_and_open-source.pdf | |
License: CC BY 4.0 | |
File access level: Open |
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