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The iRAP Big Data Tool

Key notes on use:

  • In using the iRAP Big Data tool, you are agreeing to the ViDA terms of use https://vida.irap.org/en-gb/terms
  • The networks assessed in each country are random and therefore direct comparison between countries is not encouraged.
  • The network assessed in each country / region will directly impact the results (e.g. a national motorway, local provincial roads or built-up urban roads).
  • Network bias can deliver interesting results. If you want to know more about a data finding and specific features, please contact icanhelp@irap.org
  • iRAP assessments span over 1 million kilometres of global roads. The iRAP Big Data analysis is based on just a 358,000km sample of this.
  • Using the Location; Carriageway Type and Flow Filters can be useful tools to focus on performance on similar types of roads.
  • Note the length of road assessed in any analysis. Caution is recommended when viewing any datasets showing less than 100km of results.
  • As more data and consistent networks are assessed (e.g. the UN recommended highest volume 10% of roads in a country), direct comparison will be possible.
  • Where there are no pedestrians, cyclists, motorcyclists or vehicle occupants on a road, a star rating is not reported. For example, the length of network with star rating results for cyclists is less than that for vehicle occupants.
  • To provide in-kind assistance to review, enhance and expand the global analysis, please contact icanhelp@irap.org
  • For more details on the Star Rating methodology and Attribute Coding Manuals, see https://www.irap.org/resources/

Roads Under Analysis

iRAP assessments span over 1 million kilometres of global roads. The iRAP Big Data analysis is based on just a 358,000km sample of Star Rating and Investment Plan assessments across 54 countries as indicated on the following map :

*Black line = analysed road network.

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