Neighborhood effects and consequences of criminal justice contact: a research framework.

IF 2.6 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computational urban science Pub Date : 2024-01-01 Epub Date: 2024-10-11 DOI:10.1007/s43762-024-00138-w
Ling Wu, Na Li
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Abstract

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.

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刑事司法接触的邻里效应和后果:研究框架。
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,以及如何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,本研究强调了邻里环境在塑造罪犯的刑事司法轨迹和刑事司法后的居住不平等中的作用。本研究以得克萨斯州哈里斯县为案例,考虑了个人、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的广泛影响的迫切需要。联邦统计研究数据中心(Federal Statistical Research Data Centers)和刑事司法行政记录系统(Criminal Justice Administrative Records System)的大量数据为研究结果提供了支持,对罪犯的空间模式和经济转型进行了有力的分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Application note: evaluation of the Gini coefficient at the county level in mainland China based on Luojia 1-01 nighttime light images Neighborhood effects and consequences of criminal justice contact: a research framework. Human Dynamics Research in GIScience: challenges and opportunities. The urban footprint of rural forced displacement. Influence of urbanization on winter surface temperatures in a topographically asymmetric Tropical City, Bhubaneswar, India
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