Spatial Data-Mining Analysis on Street Crimes Considering Natural Surveillance and Territorial Sense

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I examined the spatial relationship of purse snatching in the central zone of Fushimi-ku of Kyoto City. The estimation method of pedestrian on the street and natural surveillance was improved. Data mining analyses were used. It is observed that purse-snatching tends to occur at the place whose spatial openness is relatively middle. Moreover, the classier predicted crime occurrence points with high degree of accuracy in residential area, but in the commercial area, it was not so high. The effect of pedestrian movement rather than spatial composition might effects on the crime occurrences stronger in commercial area than in residential area.