打印

作者

Zhanjun He;Min Deng;Zhong Xie;Liang Wu;Zhanlong Chen;Tao Pei

来源

CITIES,Vol.99,Issue1,Article 102612

语言

英文

关键字

Crime prevention and urban planning;Spatial configuration;Spatial data mining;Spatial co-location pattern;Pattern reconstruction

作者单位

School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China;State Key Laboratory of Resources and Environmental Information System, Beijing 100020, China;Department of Geo-informatics, Central South University, Changsha 410083, China;School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China;State Key Laboratory of Resources and Environmental Information System, Beijing 100020, China;Department of Geo-informatics, Central South University, Changsha 410083, China

摘要

The presence or absence of some urban facilities can shape the spatial distribution of crime occurrence. Exploring the joint influence of various types of facilities on crime occurrence has been a major concern for both crime prevention and urban planning. Previous research (e.g., the spatial conjunctive analysis of case configurations) have tried to ascertain the joint influence of facilities by identifying the frequent spatial configurations (combinations of facility types) that exist near criminal incidents. However, such a method neglects the prevalence of facilities and the spatial autocorrelation of crime occurrence, thus resulting in some spurious conclusions. To resolve this problem, borrowing methods from spatial pattern recognition and ecology, this study applied the spatial co-location pattern mining and pattern reconstruction approach to identify statistically significant spatial configurations for crime occurrence. The results show that the adopted approach effectively eliminates the influence of independent facility types with abundant instances, thus revealing statistically significant spatial configurations with better accuracy. These identified high-risk spatial configurations both confirm and expand on previous research; these configurations can also make a positive contribution to crime prevention and urban planning.