城市空气污染制图与交通强度:主动交通应用

R. Zalakeviciute, Adrian Buenaño, D. Sannino, YvesRybarczyk
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引用次数: 10

摘要

空气污染是人类健康面临的最大风险之一,世界上大多数城市的空气质量都超过了世界卫生组织对空气质量的建议。在发展中国家,空气污染的很大一部分来自交通,因此在城市街道网络内造成空气污染热点。虽然世界需要转向更积极和可持续的通勤方式,以减少交通排放,并帮助改善因久坐不动的习惯而导致的心肺健康退化,但研究指出,在交通排放附近进行体育活动会产生负面影响。城市自行车基础设施规划的常见方法依赖于空间可用性和路线需求,忽略了最重要的方面——空气质量。因此,这项研究结合了世界范围内对积极通勤的需求和骑自行车者的健康益处。我们的目标是通过对谷歌交通数据的地理处理生成城市污染地图,并通过街道PM2.5(颗粒物)的相关性进行验证
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Urban Air Pollution Mapping and Traffic Intensity: Active Transport Application
Air pollution represents one of the greatest risks to human health, with most of the world's cities exceeding World Health Organization's recommendations for air quality. In developing countries, a major share of air pollution comes from traffic, consequently, creating air pollution hot spots inside urban street networks. While the world needs to switch to more active and sustainable ways of commuting in order to reduce traffic emissions and help improve degrading cardiopulmonary health due to increasingly sedentary habits, studies point to the negative effects of physical activity near traffic emissions. Common approaches of urban cycling infrastructure planning rely on space availability and route needs, omitting the most vital aspect--air quality. This study, therefore, combines the worldwide need for active commute and health benefits of the cyclists. Our goal was to produce urban pollution map through the geoprocessing of Google Traffic data, validated through the correlation of street level PM2.5 (particulate matter
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