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Vehicle fires

Variable Importance

Map of Nottinghamshire showing three LSOA which are outliers with regards to vehicle fires.
  • The most important factor for predicting the category of Very Low to Very High risk is the Total Street Length (km) combined in the LSOA.
  • Area and Population are also important variables, however there are some demographic factors in the top ten variables:
    • No Qualifications
    • Crime Score
  • Three LSOAs were removed from the risk assessment as they were outliers in terms of the number of incidents during the sample.
Heat map of Ashfield showing hotspots for vehicles fires.
Heat map of Broxtowe showing hotspots for vehicle fires.
Heat map of Bassetlaw showing hotspots for vehicle fires.

Top 10 risk factors

Short name Relative importance Relationship Origin
StreetsLength Km 100.00% Positive HERE
Area sqKm 78.61% Positive ONS
PopPerSqKm 66.06% Negative Census
No qualifications 61.56% Positive Census
MajHwyLength Km 56.30% Positive HERE
Full time employees 2019 49.98% Positive Census
% Population 16+ highest qualification Level3 46.28% Negative Census
Crime Score 42.21% Positive IMD
% Population 16+ highest qualification Level 4 and above 39.60% Negative Census
All Bad health 36.30% Positive Census

Predicted Risk Cluster

Predicted risk cluster map of Nottinghamshire showing vehicle fires.
  • 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 rural areas.