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

Identificador:  imarina:9262331

Handle: https://hdl.handle.net/20.500.11797/imarina9262331

Autores:  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; Delclos-Alio, Xavier; Dygryn, Jan; Ferguson, Sara; Gebel, Klaus; Thanh Phuong Ho; 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

Resumen:
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.