عنوان انگلیسی مقاله:
Discovering the joint influence of urban facilities on crime occurrence using spatial co-location pattern mining
ترجمه فارسی عنوان مقاله:
کشف تأثیر مشترک امکانات شهری بر وقوع جرم با استفاده از استخراج الگوی مشترک مکانی
Sciencedirect - Elsevier - Cities, 99 (2020) 102612. doi:10.1016/j.cities.2020.102612
Zhanjun Hea,b, Min Dengc,⁎, Zhong Xiea, Liang Wua, Zhanlong Chena, Tao Peib
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.
Keywords: Crime prevention and urban planning | Spatial configuration | Spatial data mining | Spatial co-location pattern | Pattern reconstruction