PROGRESS IN GEOGRAPHY ›› 2020, Vol. 39 ›› Issue (5): 841-852.doi: 10.18306/dlkxjz.2020.05.012

• Special Column: Crime Geography • Previous Articles     Next Articles

Spatiotemporal distribution of drug crimes at micro-scale: Taking NH and DM residential communities in SZ City as an example

LIU Yimeng, LI Weihong*(), WANG Xin   

  1. School of Geography, South China Normal University, Guangzhou 510631, China
  • Received:2019-09-24 Revised:2020-02-02 Online:2020-05-28 Published:2020-07-28
  • Contact: LI Weihong
  • Supported by:
    Key Found Project of Guangdong Province(2017B030305005)


Drug crime is a criminal act of common concern in many places of the world. Many scholars have carried out research from different professional fields. The causes of drug-related crimes have been analyzed in the existing literature. Because of the limitations of data, there is little research on the spatial and temporal distribution of drug-related crime hotspots at the micro-scale. This study took NH and DM residential communities in SZ as an example. Based on the data of drug crime cases, this study used exploratory data analysis and spatiotemporal scanning to identify the distribution of hotspots of drug crimes. Then, by combining the spatial data of land use types and dynamic population flow, it quantitatively analyzed the influencing factors of the spatiotemporal distribution pattern of drug crime cases. The results show that: 1) Drug crimes mainly distribute in developed commercial areas and urban villages, and the hotspot distribution of drug crimes in urban villages occurred earlier than in developed commercial areas, and the scope of influence is larger in the former; 2) The distribution of drug crimes in different land types is uneven; the land use types of accommodation, tourism, and entertainment, wholesale and retail commercial department stores, and catering and business services are highly correlated with drug crimes. 3) The proportion of the area in hotspot areas with high flow of people has a certain correlation with the occurrence of drug crimes. When the proportion of hotspot areas is greater than 5% or 0, it can restrain the occurrence of drug-related crimes; when the proportion of hotspot areas is between 0 and 5%, it can promote the occurrence of drug-related crimes.

Key words: drug crime, land use type, dynamic population flow, crime geography