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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Tác giả: Marc A Adams, Deepti Adlakha, Jonathan Arundel, Ligia Vizeu Barrozo, Geoff Boeing, Tamara Bozovic, Ester Cerin, Xavier Delclòs-Alió, Jan Dygrýn, Sara Ferguson, Klaus Gebel, Billie Giles-Corti, Carl Higgs, Erica Hinckson, Thanh Phuong Ho, Poh-Chin Lai, Shiqin Liu, Melanie Lowe, Joan Carles Martori, Anne Vernez Moudon, Kornsupha Nitvimol, Ana Queralt, Jennifer D Roberts, James F Sallis, Deborah Salvo, Garba H Sambo, Jasper Schipperijn, David Vale, Nico Van de Weghe, Guillem Vich

Ngôn ngữ: eng

Ký hiệu phân loại: 591.756 Specific topics in natural history of animals

Thông tin xuất bản: 2022

Mô tả vật lý:

Bộ sưu tập: Metadata

ID: 195120

Benchmarking and monitoring urban design and transport features is critical to achieving local and international health and sustainability goals. However, most urban indicator frameworks use coarse spatial scales that 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 demonstrate 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 impacts, and learning lessons from peer cities to achieve health, equity, and sustainability goals.
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