Measuring the Impact of Urban Street Trees on Air Quality and Respiratory Illness
Measuring the Impact of Urban Street Trees on Air Quality and Respiratory Illness
复制标题
测量城市街道树木对空气质量和呼吸道疾病的影响
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Constantine E. Kontokosta
中科院分区：
文献类型：
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作者：
Yuan Lai;Constantine E. Kontokosta
新的数据流使我们能够将物理对象与城市环境中丰富的多维数据联系起来。本研究展示了开放数据集成如何有助于更深入地了解城市生态。本文采用跨域数据集成方法，将众包树木普查数据（包括每棵行道树的地理位置、种类、大小和状况）与花粉活动和过敏原严重程度、社区人口统计数据以及来自NYC 311投诉的树木状况时空数据相结合，对纽约市的行道树进行了分析。我们进一步整合了按邮政编码划分的社区哮喘住院率的历史数据和现场空气质量监测数据（PM 2.5），以调查行道树如何影响当地空气质量和呼吸系统疾病的患病率。结果表明，虽然树木的数量有助于改善空气质量，但具有严重过敏原的物种可能会增加易感人群的当地哮喘住院率。
New streams of data enable us to associate physical objects with rich multi-dimensional data on the urban environment. This study presents how open data integration can contribute to deeper insights into urban ecology. We analyze street trees in New York City (NYC) with cross-domain data integration methods by combining crowd-sourced tree census data - which includes geolocation, species, size, and condition of each street tree - with pollen activity and allergen severity, neighborhood demographics, and spatial-temporal data on tree condition from NYC 311 complaints. We further integrate historical data on neighborhood asthma hospitalization rates by Zip Code and in-situ air quality monitoring data (PM 2.5) to investigate how street trees impact local air quality and the prevalence of respiratory illnesses. The results indicate although the number of trees contributes to better air quality, species with severe allergens may increase local asthma hospitalization rates in vulnerable populations.