This chapter discusses how the analysis of urban data may be exploited for forecasting crimes and presents an approach, based on seasonal auto-regressive models, for reliably forecasting crime trends in urban areas. To face such challenges, the exploitation of information coming from urban environments and the development of Smart City applications to enhance quality, improve performance and safety of urban services, are key elements. Such a steadily increasing urbanization is already bringing huge social, economic and environmental transformations and, at the same time, poses big challenges in city management issues, like resource planning (water, electricity), traffic, air and water quality, public policy and public safety services. Today, about 55 per cent of the world's population lives in urban areas, a proportion that is expected to increase to 66 per cent by 2050.
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