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

被引:1
作者
Elford, Spencer [1 ]
Adams, Matthew D. [1 ]
机构
[1] Univ Toronto, Mississauga, ON, Canada
来源
DATA IN BRIEF | 2019年 / 27卷
基金
加拿大自然科学与工程研究理事会;
关键词
Ultrafine particulate matter; Air pollution exposure; Dosage; Schools; Active transportation; Modelling;
D O I
10.1016/j.dib.2019.104792
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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]. (c) 2019 The Authors. Published by Elsevier Inc.
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页数:4
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