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Experimental Statistics

These experimental statistics are based on surveys taken at one point in time. Results will be impacted by traffic, weather and other local factors. Results between local authorities are not necessarily comparable. See the publication for more details on this dataset.
  • Click on a Local Highways Authority
    • Then click on a smaller area to load the Road Condition Data
    • A table will load showing summary statistics and a distribution chart
  • Use the controls above the map to change the Time Period of the data and the Classes of Road that are visualised.
  • Switch Local Highways Authorities by clicking the button in the top left of the map
  • Option to turn on the Indices of Multiple Deprivation using the checkbox in the top-right as well as the Strategic and Major Road Networks.
How SCANNER and the RCI measure support local authority maintenance strategy

This interactive map presents sections of the road network by their SCANNER Road Condition Index (RCI) condition category. Broadly, the sections of road categorised as red are the most likely to require maintenance, while the sections of road categorised as green are the least likely.

The SCANNER survey data and RCI provide local authorities with a broad, network-level understanding of the condition of local roads. However, the RCI does not provide all of the information needed to fully understand road condition, or to decide where maintenance is actually needed. Hence SCANNER data is a component of the overall toolkit deployed by local authorities to make informed decisions on maintenance. The data aims to help asset managers in local authorities decide where to focus further investigations but does not in itself identify where to undertake maintenance. Not all of the road sections for which investigation is suggested by the RCI will actually require maintenance. Additionally, while it is likely that many of the road sections reported as green by the RCI will not require investigation, other measures of condition (provided by other assessment tools) may identify a need for intervention on some of these road sections.

  • The data shown on the interactive map is based on those local authorities that provided their consent to access their underlying SCANNER data where held by Transport Research Laboratory (TRL), who supplied the data to the department.
  • Some local authorities were excluded from the analysis for the SCANNER data report but their information has been displayed on the map. This included cases where the experimental statistics were not comparable to the previously published official statistics (based on local authority returns); where data was incomplete because a partial survey had been undertaken or where data was not provided at the time the analysis was undertaken.
  • Each data point on the map relates to a 10m sub-section of road that has been surveyed by a SCANNER machine in the selected time-period on the map (i.e. 2017-19 or 2019-21). Any duplicate sub-sections have been removed so that only the latest data for the time-period is shown on the map.
  • The average RCI scores are experimental statistics derived from the underlying SCANNER data. This differs to the published official statistics that are based on local authorities UKPMS outputs submitted to the department as part of an annual data collection.
  • Local authorities are currently required to collect SCANNER data for their classified roads, but unclassified roads are out of scope. Local authorities can use different surveying methods on unclassified roads and there is much lower coverage of SCANNER data for unclassified roads. Unclassified roads were therefore deemed to be out of scope for this project and is why no data is shown for unclassified roads.
  • Local authorities are only required to collect SCANNER data for their classified roads, not unclassified roads.
  • Data is not shown on all classified road sections on the map because local authorities are only required to survey 90% of their A roads in both directions every two years, 85% of their B roads in both directions and 80% of their C roads in a single direction
  • Not all sections of road that are surveyed produce an RCI value, these are typically instances where one of the core parameters has not provided a valid result, so no RCI value is generated. These road sections have been displayed on the map in grey to show the full extent of the network surveyed. For example, some vehicles are not able to calculate an RCI score when travelling below a certain speed.
Red, Amber, Green Definitions
Each 10-metre road section has been assigned a condition category based on the RCI value. The thresholds used to determine the categories of condition in this map are as follows:
  • 0 to less than 40 = Green (Good condition - no further investigation or work is likely needed at this time).
  • 40 to less than 100 = Amber (Likely to be some deterioration – work may be needed sometime in the future).
  • 100 or more = Red (Likely to be in poor condition – further investigation may be required to determine whether this section of road should be considered for maintenance. The LA will decide whether any intervention is made).
See more Road Condition Statistics
Click on an Local Highways Authority