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Contributory Factors example

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Contributory Factors example

This example involves analysing alcohol as a factor (i.e. CF501 Driver Impaired by Alcohol and CF806 Pedestrian Impaired by Alcohol).

It is conceivable that either of these factors could be attributed to a vehicle passenger or uninjured pedestrian and also that they were related to the crash and the identity of the impaired party was not recorded. This offers a range of approaches to analysing alcohol related collisions and their participants.

For STATS20 definitions of Contributory Factors and the names of the dimensions in MAST, see the Contributory factors definitions list


In Crashes:

  • Simply filter by ‘Crash Involved CF501 DriverIntoxDrink.
  • Tick yes to get all crashes where CF501 was recorded.
  • In order to ensure that it was only attributed to a driver or rider then drill down under ‘Yes’ and filter on driver, which would exclude intoxicated passengers or pedestrians.
  • In order to look at all crashes with any form of intoxication, including pedestrian intoxication, then add both ‘Crash Involved CF501 DriverIntoxDrink’ and 'Crash Involved CF806 PedIntoxDrink’ to either the rows or the columns tabs and drill down to remove cases where both dimension equalled ‘No’.
  • Putting one dimension in the rows and the other in the columns would lead to the creation of a truth table to show the four combinations of CFs being attributed.

In Vehicles:

  • Simply filter by ‘Vehicle Attributed CF501 DriverIntoxDrink'.
  • Tick yes to get only drivers/riders where this CF was attributed.
  • If this dimension has been added to the rows or columns, it is possible to drill down to see if the driver/rider was injured.
  • It would then be possible to undertake socio-demographic profiling of intoxicated drivers/riders.

In Casualties:

There are two approaches: looking at intoxicated pedestrian and/or passenger casualties or the total casualties in drink-driver collisions.

Intoxicated pedestrians and/or passenger casualties

  • In order to do analyse intoxicated pedestrians and/or passenger casualties, add ‘Casualty Attributed CF501 IntoxDrink’ and/or 'Casualty Attributed CF806 PedIntoxDrink’ in the same manner as detailed above for the Crashes tab.
  • With either of those dimensions, it is possible to drill down to look at the particular casualty class for analysis, either passengers or pedestrians.

All casualties injured in drink-drive collisions

  • Alternatively, if the purpose of the analysis is to determine the number of all casualties injured in collisions which involved drink driving then use ‘Crash Involved Driver CF501 DriverIntoxDrink’.
  • Filtering by that would produce all casualties in crashes involving at least one drunk driver, including the drunk drivers themselves, injured non drunk drivers, passengers in all vehicles and injured pedestrians regardless of whether they were struck by a drunk driver.

By definition, this would NOT include drunk drivers who were not themselves injured or uninjured intoxicated pedestrians.

So it would be possible able to state the number of pedestrians injured in collisions INVOLVING a drunk driver but not possible to state the number of pedestrians HIT by a drunk driver.

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