评论：未来数据驱动的城市规划与环境卫生研究路线图。
Commentary: A road map for future data-driven urban planning and environmental health research.
作者信息
Dyer Georgia M C, Khomenko Sasha, Adlakha Deepti, Anenberg Susan, Angelova Julianna, Behnisch Martin, Boeing Geoff, Chen Xuan, Cirach Marta, de Hoogh Kees, 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
机构信息
Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader 88, 08003 Barcelona, Spain.
Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003 Barcelona, Spain.
出版信息
Cities. 2024 Dec;155:105340. doi: 10.1016/j.cities.2024.105340.
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.
数据科学和城市环境卫生研究的最新进展利用大规模数据库（数百至数千个城市）来探索城市特征之间的复杂相互作用，如城市形态和规模、气候、流动性、暴露情况以及对环境卫生的影响。城市仍然是空气污染和噪音的热点地区，遭受城市热岛效应且缺乏绿地，这导致了一些疾病和死亡负担，而通过更好的认知这些负担是可以预防的。通过协调和分析大量城市的数据来加深理解，对于确定最有效的疾病预防手段以及理解对政策至关重要的背景依赖性而言至关重要。
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