The spatial heterogeneity of factors of drug dealing: A case study from ZG, China
The spatial heterogeneity of factors of drug dealing: A case study from ZG, China
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毒品交易因素的空间异质性：以中国 ZG 为例
DOI：
10.3390/ijgi9040205
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发表时间：
2020
影响因子：
3.4
通讯作者：
Zhou Hanlin
中科院分区：
文献类型：
--
作者：
Chen Jianguo;Liu Lin;Liu Huiting;Long Dongping;Xu Chong;Zhou Hanlin
毒品成瘾和毒品交易引发的毒品犯罪是许多国家面临的严重问题。近年来，这样的问题在中国身上变得更加紧迫。然而，目前还没有关于毒品交易与相关因素的关系及其在空间上的细微变化的研究，如中国的警局管理区。基于ZG市中国7年的数据，运用地理加权泊松回归模型，探讨毒品交易与社会人口学因素、环境特征等相关危险因素之间的空间异质性。模型结果表明，社会无组织地区的毒品交易较多，主要与城中村和流动人口有关。空间可达性对毒品交易有显著影响。虽然主干道表现出负面影响，但支路和公交站点较多的地区往往吸引更多的毒品交易。此外，我们发现这些关系在空间上是不稳定的。这项研究是第一次发现中国大城市内毒品交易的空间差异。这些发现不仅有助于政策制定者从地理角度更好地理解毒品交易，还可以帮助他们制定更有针对性的地方干预战略。
Drug addiction and drug-related crime caused by drug dealing are serious problems for many countries. Such problems have gained urgency in China during recent years. However, there has been no research on the relationship between drug dealing and associated factors and its variation over space at a fine scale, such as the police station management area (PSMA), in China. Based on a seven-year data set obtained in ZG city, China, a geographically weighted Poisson regression (GWPR) model was employed to explore the spatial heterogeneity in the relationship between drug dealing and related risk factors, including social-demographic factors and environmental characteristics. The model results indicated that there were more drug dealings in the socially disorganized areas, typically associated with urban villages and floating population. Spatial accessibility had significant impacts on drug dealing. While the main road showed a negative effect, areas with more branch roads and bus stops tended to attract more drug dealings. Additionally, we found that these relationships were spatially nonstationary across space. This research represents the first in discerning spatial variation of drug dealing within a major Chinese city. These findings not only help policy makers better understand drug dealings from a geographical perspective, but can also help them to develop more targeted local intervention strategies.