Pittsburgh, PA is using predictive analytics to prioritize commercial building inspections
Pittsburgh, PA prioritizing commercial building inspections
The city is using predictive analytics to prioritize commercial building inspections. The project has developed a predictive model of the likelihood of a fire incident which is converted to a risk score and deployed in an interactive map visualization.
Links
Metro21 - Metro21: Smart Cities Institute - Carnegie Mellon University
A multi-disciplinary research and educational institute whose goal is to research, develop, deploy and evaluate technology and analytically-based solutions to improve the quality of life and economies of metropolitan areas.
GitHub - CityofPittsburgh/fire_risk_analysis: Modeling structure fire risk to inform fire inspections
Modeling structure fire risk to inform fire inspections - CityofPittsburgh/fire_risk_analysis
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Newsworthy
Pittsburgh Uses Data to Predict Fire Risk
The fifth installment of MetroLab’s Innovation of the Month series highlights how Pittsburgh’s Bureau of Fire is using predictive analytics to help their department prioritize commercial building inspections in partnership with Carnegie Mellon University.
Fire Risk Analysis: Predicting Fire Risk to Prioritize Commercial Property Fire Inspections - Metro21: Smart Cities Institute - Carnegie Mellon University
Working with the Pittsburgh Bureau of Fire (PBF), the Fire Risk Analysis team is using historical fire incident and inspection data, coupled with business permits and property condition information to develop predictive models of structure fire risk for commercial properties.
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