Utah Bikeways

The Utah Bikeways dataset provides a detailed representation of on-street and pathway bikeway features in the state and serves as a comprehensive resource for understanding the state's cycling infrastructure. The data includes various attributes such as the name of the bikeway, the city and county it traverses, and specific details about the facility type (e.g., dedicated bike lanes, shared-use paths). It also includes an estimated Level of Traffic Stress (LTS) score and the source of the data. The Utah Bikeways data is intended for planning, analysis, and visualization of planned cycling routes and infrastructure at various scales within Utah. Users should be aware that while efforts are made to keep the data current, recent changes in infrastructure are not immediately reflected. Data updates are sourced through periodic coordination between transportation agencies (UDOT and Utah's four MPOs), local government GIS and active transportation contacts, and through user submissions with the Utah Bikeways app. The Bikeways data is maintained within two separate statewide editing layers stewarded by UGRC -- Roads and Trails and Pathways. This more user-friendly dataset is derived by UGRC using a python script that combines bike facilities in the two editing layers. It merges and formats the data into a single schema, determines the best bike feature, and which side of the road the best feature is on. The script also calculates a Level of Traffic Stress metric that represents the amount of discomfort people feel when they ride their bicycles near traffic. Finally, the data is split into existing and planned features, for use in the Utah Bikeways app.犹他州自行车道数据集（Utah Bikeways Dataset）可精细化呈现该州境内街道及步道上的自行车道设施，是全面了解该州自行车交通基础设施的权威参考资源。该数据集包含多类属性信息，涵盖自行车道名称、途经城市与郡县，以及设施类型的具体细节（如专用自行车道、共享使用步道等），同时还包含估算交通压力等级（Level of Traffic Stress, LTS）评分与数据来源。本数据集可用于对犹他州范围内不同尺度下的已规划自行车路线与基础设施进行规划、分析及可视化工作。用户需注意，尽管相关方已尽力保障数据时效性，但基础设施的最新变更不会实时同步至数据集。数据更新通过交通机构（犹他州交通厅UDOT与犹他州四个大都会规划组织MPOs）、地方政府地理信息系统（GIS）及慢行交通对接联系人，以及通过犹他自行车道应用提交的用户反馈实现周期性更新。自行车道数据集由UGRC管理维护的两个独立全州编辑图层——道路与步道图层——进行存储。本易用型数据集由UGRC通过Python脚本整合两个编辑图层中的自行车设施生成：脚本将数据合并并统一至单一数据架构，筛选最优自行车设施并确定其位于道路的哪一侧，同时计算交通压力等级指标，该指标可反映骑行者在车流附近骑行时的不适程度。最终数据集将数据划分为现有设施与规划设施两类，以供犹他州自行车道应用使用。