Abstract
In recent years, the crime pattern in Chennai is mostly confined to suburban areas. Majority of theft, forcible entry, etc. were committed more in suburbs. This situation has alerted the police to find new ways of improving the security, particularly in suburbs. Besides regular crimes at suburban areas, certain illegal activities like pornography, counterfeit, manufacturing of drugs, etc. was flourishing silently for many years without any notice in suburban parts of Chennai. This way, certain crimes go unnoticed due to the favourable location in suburbs, which motivated us to handle this crime with GIS. For this, Chennai was captured in digital form. The demarcation of different areas segregated the CBD and the target area – suburban. Information gathered from various sources shown that the suburban areas recorded maximum occurrence of crimes in Chennai. Crimes varied, turned fresh, well organized and often untimely that even houses locked for more than 3 hours became the ideal target for criminals.

This level of attack by criminals has really brainstormed our attention from simple mapping of suburban crime locations to individual house level mapping which is possible only with high-resolution data. This high resolution mapping actually helps in collecting, storing and monitoring even individual house level details very accurately. This approach seem to be very much useful to map individual houses to improve safety measures, increase security personnel to isolated and long-locked houses and to increase the day time patrol in vulnerable areas. For this, unknown sample area was taken with demographical data and integrated into a database linked to a geographical data represented as polygons (houses) for analysis. It also helps in easy retrieval and manipulation of data, to update new houses, its population type, etc. to enable periodic report generation to check the crimes, its changing pattern and to improve the ultimate safety of suburbanites. Such high-resolution data can be very much useful to police, social scientists, urban planners, and NGOs to better understand the dynamics of suburban areas in Indian metros.