I recall we did something similar, but aimed at the supply chain. Like calculating the least risky path for trucks to travel after a natural disaster. Not really that hard analytically, but it is dependent on rapidly changing data, and kinds of risk involved. Now do it systematically and strategically for specific goals. The idea was also applied to predicted infrastructure planning to figure out how they might change safest operational routes based on simulation.
Mathematicians Calculate the Safest Way Home in Cardiff University News
Researchers at Cardiff University in the U.K. have developed a mobile app that guides pedestrians along the safest, rather than the quickest, route to their destination. The system can provide a score for the safety of an area, and predict the likely number of road casualties. The algorithm accounts for factors such as the number and types of crossings, the type of street, the possibility of jaywalking, and the speed limits of each road in a given area. The system has been tested in 15 U.K. cities, of which Liverpool was found to have the most unsafe roads, while Bath had the safest. The app could help city planners and developers determine how changes to a city's infrastructure could impact road safety, such as the pedestrianizing of roads or the changing of speed limits, the team says. Cardiff University researcher Padraig Corcoran says the technology "could definitely save lives." ... "
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