The iRAP Big Data Tool
Key notes on use:
- 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 firstname.lastname@example.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 email@example.com
- 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.