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Geospatial datasets describing route geometry and ultrafine particulate matter dosage for children during shortest-distance and lowest-dosage school commutes in Toronto, Canada

机译:描述加拿大多伦多最短距离和最低剂量学校上下班途中儿童路线几何形状和超细颗粒物剂量的地理空间数据集

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The data in this article provides route geometries and ultrafine particulate dosage information for a simulation of the home-to-school walking commute for children at 296,862 residential addresses in the city of Toronto, Canada. The datasets include dosage estimates that use a modelling approach that accounts for terrain, physiology and spatial variability in ambient UFP concentrations. The dataset provides simulated routes that describe both the shortest distance route, as well as the lowest UFP dosage route. Dosage and route information are provided in both polyline (route) and point (origin address) feature classes. Included in this article is a brief description of the simulation approach taken to generate the data. For discussion and complete description of the modelling approach, please refer to “Exposure to ultrafine particulate air pollution in the school commute: Examining low-dose route optimization with terrain-enforced dosage modelling” [1].
机译:本文中的数据提供了路线几何图形和超细颗粒物剂量信息,用于模拟加拿大多伦多市296,862个住宅地址中的儿童从学校到学校的步行通勤。数据集包括剂量估计值,这些剂量估计值使用建模方法来说明周围UFP浓度中的地形,生理和空间变异性。数据集提供了描述最短距离路线以及最低UFP剂量路线的模拟路线。折线(路线)和点(起点地址)要素类均提供了剂量和路线信息。本文包括对用于生成数据的模拟方法的简要说明。有关建模方法的讨论和完整描述,请参阅“学校通勤中暴露于超细颗粒空气污染:使用地形强制剂量建模检查低剂量路线优化” [1]。

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