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Contributory Factors

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==Contributory Factors==
==Contributory Factors==
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MAST now contains contributory factors (CFs) after the Department for Transport agreed to grant users access.
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''Contributory factors'' (sometimes known as CFs) are part of the information recorded about [[crashes]] under [[STATS19]].  They are available for analysis to users of [[MAST Professional]] as MAST [[dimensions]].
As there are various ways to use contributory factors in the three tabs, this [[Contributory Factors example]] shows the different approaches to analysing with CFs in [[MAST]].  
As there are various ways to use contributory factors in the three tabs, this [[Contributory Factors example]] shows the different approaches to analysing with CFs in [[MAST]].  

Revision as of 16:00, 8 October 2013

Contents

Contributory Factors

Contributory factors (sometimes known as CFs) are part of the information recorded about crashes under STATS19. They are available for analysis to users of MAST Professional as MAST dimensions.

As there are various ways to use contributory factors in the three tabs, this Contributory Factors example shows the different approaches to analysing with CFs in MAST.

Available Contributory Factor dimensions

Some contributory factors can appear in Crashes, Vehicles and/or Casualties. Full lists of which dimensions are available and what they are called can be found in tables on these pages:

Contributory Factor definitions

Contributory factors definitions are set out in STATS20. There are clearly defined rules on what the contributory factors mean; which parties they are allowed to be attributed to; and in which circumstances they should be used.

Contributory Factors in the Crashes tab

In the Crashes tab, there are all 78 contributory factor dimensions, as defined in STATS20. The available dimensions are in this list.

The dimensions are formatted so there is a 'Yes' or 'No' for each contributory factor i.e. did this crash have this CF recorded? A contributory factor is recorded as 'Yes' when the CF in question was recorded at least once in relation to the crash.

A second level of these dimensions indicates to which type of participant the CF was attributed, e.g. driver; passenger; pedestrian; a mixture of participants; or an unknown party.

As ever, the measures on the Crashes tab always refers to the number of crashes and not the number of contributory factors attributed.

Contributory Factors in the Vehicles tab

In the Vehicles tab, there are 69 contributory factor dimensions where a CF was attributed to a vehicle. This includes where the contributory factor was attributed to a casualty who was the vehicle's driver/rider. The available dimensions are in this list.

The dimensions are formatted so there is a 'Yes' or 'No' for each contributory factor i.e. did this vehicle and/or driver/rider have this CF attributed?

A second level of these dimensions indicates whether or not the vehicle's driver/rider was injured.

As ever, the measures on the Vehicles tab always refers to the number of vehicles and their associated drivers/riders and not the number of contributory factors attributed.

Contributory Factors in the Casualties tab

In the Casualties tab, there are 40 contributory factor dimensions where a CF was attributed to a passenger or pedestrian casualty and an additional 11 dimensions which indicate the involvement of certain CFs by any party or parties in the collision. The available dimensions are in these lists.

The dimensions are formatted so there is a 'Yes' or 'No' for each contributory factor i.e. did this passenger or pedestrian casualty have this CF attributed?

A second level of these dimensions indicates the casualty class.

As ever, the measures on the Casualties tab always refers to the number of casualties and not the number of contributory factors attributed.

Uninjured Pedestrians

It is possible under the STATS20 guidance for uninjured pedestrians to be seen to have contributed to the crash. Certain contributory factors can be attributed to uninjured pedestrians. More information can be found here

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