![]() ![]() European Journal of Criminology, 2009, 6(1): 25–46 The future of newman’s defensible space theory: linking defensible space and the routine activities of place. Crime and residential security shutters in an Australian suburb: exploring perceptions of ‘eyes on the street’, social interaction and personal safety. ISPRS International Journal of Geo-Information, 2019, 8(1): 51Ĭozens P, Davies T. The spatial and social patterning of property and violent crime in toronto neighbourhoods: a spatial-quantitative approach. Computers, Environment and Urban Systems, 2017, 66: 83–95 Built environment and violent crime: an environmental audit approach using google street view. The relationship between residential yard management and neighborhood crime: an analysis from baltimore city and county. The results provide both theoretical and practical implications for crime theories and crime prevention efforts. The key streetscape elements of a given street that affect a specific criminal activity can be identified according to the strength of the association. From a local perspective, the Pedestrian Space Index, Green View Index, Light View Index and Motorization Index have a significant spatial influence on crimes, while the same visual streetscape factors have different effects on different streets due to the combination differences of socioeconomic, cultural and streetscape elements. Global regression results show that the influences of Motorization Index on crimes are significant and positive, while the effects of the Light View Index and Green View Index on crimes depend heavily on the socioeconomic factors. An experiment was conducted in downtown and uptown Manhattan, New York. Then, the association between the eight indexes and recorded crime events was revealed with a poisson regression model and a geographically weighted poisson regression model. This study computed eight streetscape indexes of the street built environment using Google Street View images firstly. Recently, the development of deep learning technology and big data of street view images, makes it possible to quantitatively explore the relationship between streetscape and crime. Understanding the influencing mechanism of the urban streetscape on crime is fairly important to crime prevention and urban management. ![]()
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