Commentary: A road map for future data-driven urban planning and environmental health research
Georgia M.C. Dyer (ISGlobal, Barcelona, Pompeu Fabra University, Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP))
Sasha Khomenko (ISGlobal, Barcelona, Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Pompeu Fabra University)
Deepti Adlakha (TU Delft - Urban Studies)
Susan Anenberg (The George Washington University)
Julianna Angelova (Florida Gulf Coast University)
Martin Behnisch (Leibniz Institute of Ecological Urban and Regional Development)
Geoff Boeing (University of Southern California)
Xuan Chen (Universiteit Utrecht)
Mark Nieuwenhuijsen (Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), ISGlobal, Barcelona, Pompeu Fabra University)
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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.
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