城市规划者需要最新、全球覆盖且一致的街道网络模型与指标，以衡量韧性与绩效、建模可达性，并精准实施提升本地生活质量的干预措施。本文提供了面向全球每一处都市区的最新街道网络模型与指标，采用全球人类住区图层（Global Human Settlement Layer）发布的2025年都市区边界，使用户可将这些数据与数百项其他城市属性进行关联分析。其工作流处理了覆盖189个国家、10,351个都市区的1.8亿个OpenStreetMap节点与3.6亿个OpenStreetMap边。相关代码、模型与指标均公开发布，可供复用。这些资源不仅推动了超越抽样局限的全球街道网络科学研究，亦支持资源匮乏地区开展本地化分析——在这些地区，此类模型与指标通常难以获取。

Urban planners need up-to-date, global, and consistent street network models and indicators to measure resilience and performance, model accessibility, and target local quality-of-life interventions. This article presents up-to-date street network models and indicators for every urban area in the world. It uses 2025 urban area boundaries from the Global Human Settlement Layer, allowing users to join these data to hundreds of other urban attributes. Its workflow ingests 180 million OpenStreetMap nodes and 360 million OpenStreetMap edges across 10,351 urban areas in 189 countries. The code, models, and indicators are publicly available for reuse. These resources unlock worldwide urban street network science beyond samples as well as local analyses in under-resourced regions where models and indicators are otherwise less-accessible.