地理
土地利用
溢出效应
人口普查
毒物控制
普查区
空间分析
地图学
社会经济地位
劣势
地理信息系统
地理编码
经济地理学
大都市区
伤害预防
环境规划
人为因素与人体工程学
土地利用、土地利用的变化和林业
环境卫生
自杀预防
社会关系
作者
Kyle D. Maksuta,Yunhan Zhao
标识
DOI:10.1177/00111287251391199
摘要
This study examines how social disorganization and land use shape violent crime within and across neighborhoods in Houston, Texas. Using incident-level NIBRS data aggregated to 710 census tracts (2020–2022), we apply a Spatial Durbin Model (SDM) to assess both local and spillover effects. Results show that concentrated disadvantage and racial composition significantly predict violence, with effects extending beyond tract boundaries. Vacant land and entertainment parcels elevate risks in adjacent tracts, while mixed-use development and medical access diffuse protective effects into surrounding areas. By integrating social disorganization and environmental criminology perspectives, findings demonstrate that neighborhood violence is embedded in broader spatial systems and underscore the utility of SDMs for disentangling direct and indirect pathways of urban crime.
科研通智能强力驱动
Strongly Powered by AbleSci AI