Road Condition Survey for York, UK, with Five Condition Grades

A 2019 automated survey of road surface conditions in the city of York, UK, conducted as part of a pilot project by the City of York Council. The data records five condition grades from 'very good' to 'very poor' and is used for deterioration modeling and maintenance prioritization. The dataset is published under the OGL-UK-3.0 license by the Government Digital Service.

Use Cases

• Predictive maintenance modeling based on the five defined condition grades.
• Prioritizing road repair schedules across a city based on condition survey data.
• Financial modeling for infrastructure budgets based on asset deterioration rates.
• Evaluating automated survey technology for road condition assessment.

Strengths

• Data is structured around five clearly defined condition categories (Grade 1 to Grade 5).
• Part of an ongoing pilot project for automated surveying, suggesting a modern data collection method.
• Explicitly linked to a related dataset (Footway Condition Survey 2019) for broader analysis.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The association of pavement data to street names is described as an approximation with varying accuracy.

Provenance

Source

City of York Council, published via Government Digital Service.

Collection Method

Automated surface condition survey (pilot project).

Time Range

2019 (snapshot, but may be updated).

Freshness

Last update date is unknown; freshness unverified.

Geography

City of York, United Kingdom.