How Key Drivers impact fire risk scores, and the contribution values that indicate the impact, with examples.
Key Drivers
Key driver |
Description |
Criminal damage and arson risk |
This property is located in a very low, low, medium or high risk area for criminal damage and arson |
Likely presence of a firefighting shaft |
Building regulation suggests that this property should contain a firefighting shaft with a firefighting lift, given its height |
Likely presence of sprinklers |
Building regulation suggests that this property should contain sprinklers, given its height |
Tall office building |
This property is (or is located within) an office building over 18m in height |
Total business area |
The total area used for business purposes is 1–25, 25–75, 75–200, or >200 sq. m |
Room count |
The total area used for business purposes is divided into 1–2, 3–9, or >=10 rooms |
Average room size |
The average size of rooms used for business purposes is 1–40, 40–100, or >100 sq. m |
Mixed use property |
This property contains both residential and commercial units |
Property contains storage facilities |
This property contains storage facilities which could be internal (e.g. supported storage floor) or external (e.g. shed) |
Property contains a workshop |
This property contains a workshop |
Property contains a kitchen |
This property contains a kitchen |
Property includes a warehouse |
This property contains a warehouse |
Property contains public toilets |
This property contains public toilets |
Timber structure |
The primary structural construction of this property is likely to be timber |
Metal structure |
The primary structural construction of this property is likely to be metal |
Masonry structure |
The primary structural construction of this property is likely to be masonry |
Company failure risk |
The company at this property has an above average, or very low risk of failure |
Proportion of blue collar employees |
The company at this property has a high proportion (at least 70%) of blue collar employees on site |
Registered company |
A registered company is located at this property |
Chemical Manufacturing company |
The company at this property is in the Chemical Manufacturing trade |
Waste Collection company |
The company at this property is in the Waste Collection trade |
Waste Treatment company |
The company at this property is in the Waste Treatment trade |
Construction company |
The company at this property is in the Construction trade |
Motor Vehicle Retail company |
The company at this property is in the Motor Vehicle Retail trade |
Civil Engineering company |
The company at this property is in the Civil Engineering trade |
Hospital |
This property is a hospital |
Gambling site |
The company at this property is in the Gambling trade |
Sports venue |
This property is a sports venue |
Dormant company |
A dormant company is located at this property |
Previous fire |
This property has previously experienced a fire |
Adjacent previous fire |
A different property or unit at this address has previously experienced a fire |
Distance to fire station |
The nearest fire station is <0.5km, 0.5–4km, or more than 4km away |
Property usage hazard |
The usage type of this property has a very low, low, moderate, high, or very high fire risk relative to other property usage types |
Within residential |
This address is contained within a residential property |
Crime rate |
The postcode of this property is in the top decile or lowest decile for crime |
Education level |
The postcode of this property is in the top decile or lowest decile for education |
Sprinklers installed |
This property has sprinklers installed |
Contributions
A contribution measures the effect of the fire Key Driver on the risk score, relative to other drivers. The greater the magnitude of the contribution, the greater the effect the driver had on the risk score.
Each key driver has a value between -1 and 1:
- A negative contribution means the driver led to a lower (less risky) risk score
- A positive contribution means the driver led to a higher (more risky) risk score
Key driver examples
Example 1
Key driver |
Contribution |
Waste treatment company |
0.18232 |
Distance to fire station |
-0.10536 |
Previous fire |
0.09531 |
Education level |
0.04879 |
Company failure risk |
-0.05129 |
From the above, you can conclude that:
- The waste treatment trade has the greatest effect on the risk score as it has the highest contribution magnitude and increases the riskiness of the property
- Previous loss(es) and education level led to a higher (riskier) risk score as the contributions are positive
- The distance to the closest fire station and company failure risk led to a lower (less risky) risk score as the contribution is negative
Example 2
Key driver |
Contribution |
Property usage hazard |
-0.10536 |
Commercial property has adjoining residential property |
0.04879 |
Distance to fire station |
0.02956 |
Room count |
0.01980 |
Property contains a kitchen |
0.01980 |
From the above, you can conclude that:
- Property hazard code has the greatest effect on the risk score as it has the highest contribution magnitude and reduces the riskiness of the property
- All the other driver values led to a higher (riskier) risk score as the contributions are positive
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