We present a dynamic model based on the theories proposed by environmental criminologists to explain the emergence of crime hotspots within cities; a pervasive phenomenon that is largely independent of cities size and cultural differences. The model is defined on a multiplex network that represents a city spatial tiling with its corresponding urban transport infrastructure, allowing to explore the relation between crime hotspot locations and the network topological features. It also allows to explore the effects that cities time evolution and police checkpoints might have on the emergence of crime hotspots. For Mexico City, the model shows that heterogeneous distributions of criminal activity arise from a diffusion-driven instability, as a self-organizing process. The results obtained for this city are in line with several insights from environmental criminology, such as the relationship between urban layout and crime hotspots locations, or the conceptual label assigned to specific locations as crime generators. They also uncover new relationships between cities design and crime hotspot locations, and suggest that routine activity theory alone cannot explain the emergence of heterogeneous crime distributions.

我们基于环境犯罪学家提出的理论提出了一个动态模型来解释城市内犯罪热点的出现；这是一种普遍现象，很大程度上与城市规模和文化差异无关。该模型是在代表城市空间切片及其相应城市交通基础设施的多重网络上定义的，可以探索犯罪热点位置与网络拓扑特征之间的关系。它还可以探索城市时间演变和警察检查站可能对犯罪热点出现的影响。对于墨西哥城来说，该模型表明，犯罪活动的异质分布是由扩散驱动的不稳定性引起的，是一个自组织过程。犯罪发生器。他们还揭示了城市设计与犯罪热点地点之间的新关系，并表明仅靠日常活动理论无法解释异质犯罪分布的出现。