Developing a predictive framework for structure fire through an activity theory lens

When a house fire occurs it does not discriminate, it consumes all in its path taking life, injuring,destroying property and damaging the environment which is why firefighters throughout the world are on standby ready to respond.But what if we could identify where a fire was more likely to occur and do something about it before it happened?After a review of current literature, I have identified a research gap in this domain and after undertaking an analysis of sample data I am proposing a concept of Dynamic Predictive Analytics where real time inputs into an Information System could model fire risks which can then be used to inform resource deployment decisions.The direct contribution of this research aims to use predictive analytics to decrease the response time to fire-fighting to reduce its devastating impact on its victims. The indirect contribution is to enable the identification of at risk communities for the delivery of fire safety education through which risks, loss of life and economic costs could be minimised.