Gaining real-time intelligence on arson attacks
The Fire and Rescue Services of the United Kingdom reported attending 108,024 deliberate fires in the year 2017/2018, representing 50.5% of all the 213,782 fires attended. Arson is the largest, single cause of fire attended by Fire and Rescue Services.
The Association of British Insurers reports that £1.3 Billion was paid out to property insurance customers making claims for fire in 2018, in addition to there being accompanying business interruption costs. Historically, economic downturns have seen an increase in the number of arson cases, from both malicious and fraudulent incidents. A handful of insurers are increasing their efforts to make customers more aware of the risks of arson.
Research of arson incidents suggests that there is a greater likelihood of a similar incident for locations of similar categories to the property which was first subject to arson. Furthermore, a temporal proximity is seen to exist in most circumstances. A temporal decay in the likelihood of a subsequent incident occurs, whilst both situational and routine property guardianship can contribute to reducing incident likelihood.
Gathering data on arson incidents from formal and informal data sources can assist property owners and insurers by prompting effective guardianship. Balkerne’s uses Machine Learning to process up to 10,000 data records in an hour to provide location and context specific information to our customers.