Footway Condition Survey 2020

The data published within this resource represents an ongoing pilot project of automated surface conditioning survey which is helping to extend the life of the UK’s public infrastructure assets.

Although the data represents a snapshot in time of the road conditions around the city, due to the evolving nature of the project and the technology around it the data may be updated at any time to reflect any additional data development.
Due to the nature of the underlying data, the association of pavement to street name represents just an approximation, with various level of accuracy across the dataset.

The City of York Council is continuously developing new technologies to improve the way in which the services provided by the council are delivered. The data published within this resource is used towards ongoing complex analysis in order to provide better deterioration and financial modelling techniques to help in ensuring more effective maintenance of roads and pavements, as well as to improve the way in which the maintenance is prioritised across the city.

The data records five condition categories:

• Grade 1: very good
• Grade 2: good
• Grade 3: fair
• Grade 4: poor
• Grade 5: very poor

For information on road condition please visit the [__Road Condition Survey 2020__](https://data.yorkopendata.org/dataset/road-condition-survey-2020) dataset.

本资源所发布的数据代表一项持续进行的自动化表面状况调查的试点项目，该项目旨在延长英国公共基础设施资产的寿命。尽管这些数据反映了城市周边道路状况的某一时间点快照，但由于项目的演变特性及其相关技术的不断进步，数据可能随时更新以反映任何新增的数据发展。鉴于基础数据的特性，路面与街道名称之间的关联仅是一种近似，且在整个数据集中存在不同程度的准确性。约克市议会持续研发新技术，以优化市政服务提供方式。该资源中发布的数据用于支持持续的复杂分析，旨在提供更优的退化模型和财务建模技术，以帮助确保道路和铺路的有效维护，并改善城市内维护工作的优先级排序。数据记录了五种状况类别：

• 等级 1：非常良好
• 等级 2：良好
• 等级 3：尚可
• 等级 4：较差
• 等级 5：非常差
有关道路状况的信息，请访问[__2020年道路状况调查数据集__](https://data.yorkopendata.org/dataset/road-condition-survey-2020)。