在城市环境中使用移动平台的超局部环境数据
An Wang1, Simone Mora2,3, Yuki Machida1
1Senseable City Lab, Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, USA.
Scientific data
|August 5, 2023
概括
本研究介绍了来自全球三个城市的超局部环境数据 (PM,NO2,温度,相对湿度),以应对城市可持续性挑战. 这些发现支持基于证据的空气质量和环境政策制定决策.
科学领域:
- 环境科学 环境科学
- 城市规划 城市规划
- 数据科学数据科学数据科学
背景情况:
- 高分辨率的环境数据对于城市的可持续性至关重要.
- 对超局部数据的有限访问阻碍了有效的环境行动.
- 现有的监控基础设施往往缺乏公众可访问性和一致的数据质量.
研究的目的:
- 报告从2020-2022年收集的校准环境数据 (PM,NO2,温度,相对湿度).
- 引入一个移动平台,用于全球城市的超局部环境数据收集.
- 为了证明超局部数据集在城市环境挑战中基于证据的决策的实用性.
主要方法:
- 在波士顿,纽约和贝鲁特设计和部署了一个移动传感平台.
- 收集的环境数据包括颗粒物 (PM),二氧化 (NO2),温度和相对湿度.
- 对收集的空气质量数据实施数据清理,验证和格式化程序.
主要成果:
- 在全球三个不同城市的四个部署中成功收集和校准了超局部环境数据.
- 展示了移动平台的应用,以解决有针对性的城市环境问题,如空气质量和暴露差异.
- 为利用独立或组合的超本地数据集提供了一个框架,用于明智的环境政策制定.
结论:
- 超局部环境数据对于解决城市可持续性和空气质量问题至关重要.
- 开发的移动传感平台有效地收集和验证关键的环境数据.
- 这一数据集支持基于证据的决策,特别是在数据稀缺的地区,以改善环境政策.
相关概念视频
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