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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

Heat map of Nottinghamshire showing outlier locations for non-residential fires.
  • 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

Predicted risk cluster map of Nottinghamshire showing non-residential fire
  • 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.