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Non-residential fire
Variable Importance
The most important factor for predicting the category of Very Low to Very High risk is the Number of Fulltime Employees (2019).
Other highly ranked variables include factors related to sectors of industry:
Hospitality Services
Wholesale and Retail
Shops and Other Retail Outlets
Office and Administration
There are plenty of data sources that relate to people and dwellings, but less information was available on other factors on the built environment, businesses, etc.
The model’s predicted risk levels are less confident for non-residential fires compared to dwelling fires.
Outliers
Four LSOAs were removed from the risk assessment as they were outliers in terms of the number of incidents during the sample.
These were LOSAs which include the following locations where a high number of incidents occurred:
HMP Ranby
HMP Lowdham Grange
HMP Nottingham and Nottingham City Hospital
Queens Medical Centre Hospitals
Top 10 risk factors
Short name
Relative importance
Relationship
Origin
Full-time employees 2019
100.00%
Positive
Census
Part-time employees 2019
89.16%
Positive
Mosaic
I Hospitality Services
45.20%
Positive
Experian
G Wholesale and Retail
41.49%
Positive
Experian
Shops and other Retail Outlets
37.03%
Positive
Experian
Office and Administration
36.01%
Positive
NOMIS
Constructed 1950 - 1975
27.57%
Negative
EPC Data
Streets Length Km
27.37%
Positive
HERE
Indoors Sub-domain Score
25.50%
Positive
IMD
Factories and Manufacturing
23.51%
Positive
Mosaic
Predicted Risk Cluster
Using the top ranked risk variables, the model predicts the risk level in each LSOA.
This map summarises the output in terms of whether each LSOA is most likely to be Very Low to Very High risk.
Most of the highest risk LSOAs are in urban areas.