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

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15510%2F22%3A73613650" target="_blank" >RIV/61989592:15510/22:73613650 - isvavai.cz</a>
Result on the web
<a href="https://www.thelancet.com/journals/langlo/article/PIIS2214-109X(22)00072-9/fulltext" target="_blank" >https://www.thelancet.com/journals/langlo/article/PIIS2214-109X(22)00072-9/fulltext</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/S2214-109X(22)00072-9" target="_blank" >10.1016/S2214-109X(22)00072-9</a>

Result language
angličtina
Original language name
Using open data and open-source software to develop spatial indicators of urban design and transport features for achieving healthy and sustainable cities
Original language description
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.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30304 - Public and environmental health

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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