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

Boeing, Geoff; Higgs, Carl; Liu, Shiqin; Giles-Corti, Billie; Sallis, James F; Cerin, Ester; Lowe, Melanie; Adlakha, Deepti; Hinckson, Erica; Moudon, Anne Vernez; 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; Arundel, Jonathan

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Authors

Geoff Boeing

Carl Higgs

Shiqin Liu

Billie Giles-Corti

James F Sallis

Ester Cerin

Melanie Lowe

Deepti Adlakha

Erica Hinckson

Anne Vernez Moudon

Deborah Salvo

Marc A Adams

Ligia V Barrozo

Xavier Delclòs-Alió

Jan Dygrýn

Sara Ferguson

Klaus Gebel

Thanh Phuong Ho

Poh-Chin Lai

Joan C Martori

Kornsupha Nitvimol

Ana Queralt

Jennifer D Roberts

Garba H Sambo

Jasper Schipperijn

David Vale

Nico Van de Weghe

Guillem Vich

Jonathan Arundel



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.

Citation

Boeing, G., Higgs, C., Liu, S., Giles-Corti, B., Sallis, J. F., Cerin, E., …Arundel, J. (2022). Using open data and open-source software to develop spatial indicators of urban design and transport features for achieving healthy and sustainable cities. Lancet Global Health, 10(6), e907-e918. https://doi.org/10.1016/S2214-109X%2822%2900072-9

Journal Article Type Article
Acceptance Date Jun 1, 2022
Online Publication Date May 10, 2022
Publication Date May 10, 2022
Deposit Date Jul 26, 2022
Publicly Available Date Jul 27, 2022
Journal The Lancet Global Health
Print ISSN 2214-109X
Electronic ISSN 2214-109X
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 10
Issue 6
Pages e907-e918
DOI https://doi.org/10.1016/S2214-109X%2822%2900072-9
Public URL https://uwe-repository.worktribe.com/output/9710255
Publisher URL https://www.sciencedirect.com/science/article/pii/S2214109X22000729

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