Dyer, Georgia MC; Khomenko, Sasha; Adlakha, Deepti; Anenberg, Susan; Angelova, Julianna; Behnisch, Martin; Boeing, Geoff; Chen, Xuan; Cirach, Marta; de Hoogh, Kees; +28 more... Roux, Ana V Diez; Esperon-Rodriguez, Manuel; Flueckiger, Benjamin; Gasparrini, Antonio; Iungman, Tamara; Khreis, Haneen; Kondo, Michelle C; Masselot, Pierre; McDonald, Robert I; Montana, Federica; Mitchell, Rich; Mueller, Natalie; Nawaz, M Omar; Pereira, Evelise; Pisoni, Enrico; Prieto-Curiel, Rafael; Rezaei, Nazanin; Rybski, Diego; Ramasco, José J; Schifanella, Rossano; Shabou, Saif; Tatah, Lambed; Taubenböck, Hannes; Tonne, Cathryn; Velázquez-Cortés, Daniel; Woodcock, James; Zhang, Qin; Nieuwenhuijsen, Mark; (2024) Commentary: A road map for future data-driven urban planning and environmental health research. Cities (London, England), 155. 105340-. ISSN 0264-2751 DOI: https://doi.org/10.1016/j.cities.2024.105340
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Abstract
Recent advances in data science and urban environmental health research utilise large-scale databases (100s-1000s of cities) to explore the complex interplay of urban characteristics such as city form and size, climate, mobility, exposure, and environmental health impacts. Cities are still hotspots of air pollution and noise, suffer urban heat island effects and lack of green space, which leads to disease and mortality burdens preventable with better knowledge. Better understanding through harmonising and analysing data in large numbers of cities is essential to identifying the most effective means of disease prevention and understanding context dependencies important for policy.
Item Type | Article |
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Faculty and Department | Faculty of Public Health and Policy > Public Health, Environments and Society |
Research Centre | Centre for Climate Change and Planetary Health |
PubMed ID | 39351125 |
Elements ID | 229451 |
Official URL | http://dx.doi.org/10.1016/j.cities.2024.105340 |
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Filename: Dyer-etal-2024-Commentary-a-road-map.pdf
Licence: Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0
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