Road Condition Survey 2021 for City of York with Five Condition Grades

An automated surface condition survey pilot project aims to extend the life of UK public infrastructure. The City of York Council uses this data for complex analysis to improve deterioration modeling, financial planning, and maintenance prioritization for roads and pavements. Data records five condition categories from 'very good' to 'very poor' and may be updated as the project evolves.

Use Cases

• Predictive maintenance modeling based on the five-grade condition classification system.
• Financial planning for infrastructure budgets based on road deterioration analysis.
• Prioritizing road repair schedules across a city based on automated condition surveys.
• Comparing pavement condition with footway data from the linked companion dataset.

Strengths

• Data is part of an ongoing pilot project using automated survey technology.
• Condition is classified into five distinct, clearly defined grades.
• Data is used for complex analysis to improve financial and deterioration modeling.

Limitations

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

Provenance

Source

City of York Council, via Government Digital Service.

Collection Method

Automated surface condition survey pilot project.

Time Range

2021 snapshot, with potential updates.

Freshness

Last update date is unknown; freshness unverified.

Geography

Roads and pavements around the City of York, UK.