Crime Rate Prediction with Region Risk and Movement Patterns

Rumi, Shakila Khan, Luong, Phillip, Salim, Flora D.

arXiv.org Machine Learning 

--The location-based social network, FourSquare, helps us to understand a city's mass human mobility. It provides data that characterises the volume of movements across regions and Places of Interests (POIs) to explore the crime dynamics of a city. T o fully exploit human movement into crime analysis, we propose the region risk factor which combines monthly aggregated crime and human movement of a region across different time intervals. We then derive a number of features using the region risk factor and conduct extensive experiments with real world data in multiple cities that verify the effectiveness of these features. One of the basic demands for every person in society is a safe and secure living space.

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