Wu Ling, Li Na
Department of Justice Studies, Prairie View A&M University, Prairie View, USA.
Department of Computer Science, Prairie View A&M University, Prairie View, USA.
Comput Urban Sci. 2024;4(1):27. doi: 10.1007/s43762-024-00138-w. Epub 2024 Oct 11.
This paper proposes a framework to examine how neighborhood factors influence criminal justice (CJ) contact and contribute to disparities across multiple stages of the justice process. By conceptualizing the punishment process as a dynamic set of decision-making points, this study highlights the role of neighborhood context in shaping offenders' CJ trajectories and post-CJ residential inequality. Using Harris County, Texas, as a case study, this research considers individual-, neighborhood-, and event-level variables to understand the cumulative effects of neighborhood characteristics on CJ outcomes. This study underscores the critical need to investigate neighborhood mobility and its broader implications for community development and public policy. The findings can be supported by extensive data from the Federal Statistical Research Data Centers and the Criminal Justice Administrative Records System, offering a robust analysis of offenders' spatial patterns and economic transitions.
本文提出了一个框架,以研究邻里因素如何影响刑事司法(CJ)接触,并在司法程序的多个阶段造成差异。通过将惩罚过程概念化为一系列动态的决策点,本研究突出了邻里环境在塑造罪犯的CJ轨迹和CJ后居住不平等方面的作用。以得克萨斯州哈里斯县为例,本研究考虑了个体、邻里和事件层面的变量,以了解邻里特征对CJ结果的累积影响。本研究强调了调查邻里流动性及其对社区发展和公共政策更广泛影响的迫切需要。研究结果得到了联邦统计研究数据中心和刑事司法行政记录系统的大量数据支持,对罪犯的空间模式和经济转变进行了有力分析。