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| STUDY ON CHARACTERISTICS OF CRIME SPATIAL DISTRIBUTION BASED ON STREET NETWORK |
| ZHENG Zi-wan1,2,3, ZHANG Feng1,2, DU Zhen-hong1,2, LIU Ren-yi1,2, ZHOU Guo-min3 |
1. Zhejiang Provincial Key Laboratory of GIS, Zhejiang University, Hangzhou 310028, China;
2. Department of Geographic Information Science, Zhejiang University, Hangzhou 310027, China;
3. Ministry of Public Security's Key Laboratory of Public Security Information Application Based on Big-data Architecture, Zhejiang Police College, Hangzhou 310000, China |
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Abstract Over the last decades, the units of study on characteristics of crime spatial distribution are mainly address, block, beat, county, district, city, and so on. The paper analyzes 16787 property crime incidents occurring at one district, Zhejiang province during 2011-2014 with the analysis unit of street segment. Firstly, the analysis of the distribution of crime number of street segments suggests that there are street segments with a large number of crime, which are called the hot street segment, and these hot street segments account for a small proportion of all street segments. Secondly, the analysis of the Lorenz curve between street segment and crime reveals that a small proportion of hottest street segments are totally responsible for a very large proportion of crime. Thirdly, using classification of natural break with five categories to classify street segments, identify crime hotspots, and create crime hotspot map of street segment, shows that hottest street segments cluster on the street network and form seven clustering areas of hottest street segments, which are primarily residential areas, universities and business areas with high density of population, high diversity of population, and high degree of people mobility. Finally, the similarity of the shape of Lorenz curve of street segment and Lorenz curve of block suggests the characteristics of crime spatial concentration based on block are similar to the characteristics of crime spatial concentration based on street network as described above.
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Received: 20 July 2015
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2016, Vol. 31 
