An Analysis of the Spatial Distribution of the Crime in Urban Villages--Taking Dianqian Village,Xiamen as an Example

Yiting Wu
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引用次数: 0

Abstract

Urban villages are the legacy of China's rapid urban development, those is characterized by high mobility and complex structure, which is endangering the personal safety of residents in urban villages and the surrounding people, affecting the harmony and stability of the communities in urban villages, and not conducive to social and economic development. By taking the distribution of Robbery, Grab and Theft cases as the data source, combining with big data POI information obtained from Gaode, which is the one of the large map service companies in China. Methods such as kernel density analysis, standard deviation ellipsometry and spatial syntax theory are applied in the study, respectively, in order to quantitatively analyze the relationship between the spatial configuration and the environment of crime distribution within urban villages. The results show that: the accessibility, global integration, local integration and connectivity affect the occurrence of Robbery, Grab and Theft and the escape routes of criminals in the village. Different types of POI points and the occurrence of Robbery, Grab and Theft are correlated. This study helps to identify and improve the environmental factors that induce crime, and provides some references on security for the future renovation and construction of public spaces in urban villages in southern Fujian, China.
城中村犯罪空间分布分析——以厦门市店前村为例
城中村是中国城市快速发展的产物,具有流动性大、结构复杂等特点,危及城中村居民及周边人群的人身安全,影响城中村社区的和谐稳定,不利于社会经济发展。以抢劫、抢、盗案件分布为数据源,结合国内大型地图服务公司高德获取的大数据POI信息。分别运用核密度分析、标准差椭偏法和空间句法理论等方法,定量分析城中村犯罪分布的空间形态与环境的关系。结果表明:可达性、全球一体化、局部一体化和连通性影响村庄抢劫、抢夺和盗窃的发生以及犯罪分子的逃跑路线。不同类型的POI点与抢劫、抢夺和盗窃的发生有相关性。本研究有助于识别和改善诱发犯罪的环境因素,并为闽南城中村公共空间的改造与建设提供一定的安全参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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