IUTF数据集:为分析降雨对城市交通的影响提供跨境资源
Xuhui Lin1, Qiuchen Lu2, Long Chen3
1Phd Candidate, The Bartlett School of Sustainable Construction, University College London, London, UK.
Scientific data
|November 29, 2025
概括
一个新的数据集整合了40个城市的交通,天气和道路数据. 该资源通过跨境分析极端天气对流动性的影响,有助于城市弹性和交通管理.
科学领域:
- 城市规划和交通科学 城市规划和交通科学
- 环境科学与气候变化
- 数据科学和地缘空间分析
背景情况:
- 极端天气事件,特别是洪水,严重破坏城市交通系统.
- 综合数据集的有限可用性阻碍了对天气对城市交通影响的研究.
- 发展弹性运输网络需要有关交通,天气和基础设施的全面数据.
研究的目的:
- 引入综合城市交通-洪水 (IUTF) 数据集,这是一个新的开放访问资源.
- 为了弥合数据可用性的差距,研究天气对城市交通的影响.
- 促进跨境分析和支持城市弹性模型的开发.
主要方法:
- 集成来自40个城市的21,700多个传感器的高分辨率交通数据.
- 纳入ERA5再分析中的每小时降水数据.
- 将交通和天气数据与超过100万个道路段的OpenStreetMap道路网络拓统一.
- 为数据集成和验证制定一个时空协调框架.
主要成果:
- 创建IUTF数据集,涵盖欧洲,北美和亚洲的主要城市地区.
- 该数据集提供了协调的每小时交通参数,降水数据和道路网络拓.
- 数据集已验证并准备好用于各种分析应用.
结论:
- IUTF数据集为了解天气对城市交通的影响提供了前所未有的资源.
- 它支持交通流预测,基础设施规划和弹性建模的先进应用.
- 这些开放访问数据促进了对更有弹性的城市交通系统的研究和政策制定.
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