Using block level data for Mexico City as case study, this article provides evidence that the type of city block type correlates with the likelihood of residential burglary. We employed five multilevel random intercept models to relate burglary incidents to city block types. We nested the 64,282 city blocks of Mexico City within their corresponding 846 local police quadrants. Our results show that Container-type city block configurations are associated with residential burglary to a greater degree than other physical and social environmental variables. Also, we find that close proximity to mass transit locations is not associated with residential burglary activity. The overall findings of this study describe fundamental dynamics between urban form and burglary.

中文翻译：

---

城市街区类型对住宅入室盗窃的影响：以墨西哥城为例

本文使用墨西哥城的街区级数据作为案例研究，提供证据表明城市街区类型与住宅入室盗窃的可能性相关。我们采用了五个多级随机拦截模型将入室盗窃事件与城市街区类型联系起来。我们将墨西哥城的 64,282 个城市街区嵌套在相应的 846 个当地警察象限内。我们的结果表明，与其他物理和社会环境变量相比，集装箱式城市街区配置与住宅盗窃的相关性更大。此外，我们发现靠近公共交通地点与住宅入室盗窃活动无关。本研究的总体结果描述了城市形态与入室盗窃之间的基本动态。