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

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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Publication Details

Journal
Computational Urban Science
Published
2024-10-11
DOI
https://doi.org/10.1007/s43762-024-00138-w
Citations
1
Primary Topic
Crime Patterns and Interventions
Type
article
Field-Weighted Citation Impact
1.13

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article

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

Ling Wu, Na Li
1 citations
Computational Urban Science
Crime Patterns and Interventions
1.13
article

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

Ling Wu, Na Li
article en
1 citations

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.

Computational Urban ScienceVol. 4(1)
Prairie View A&M University (US)
National Science Foundation, National Aeronautics and Space Administration, Nuclear Safety and Security Commission
Peace, Justice and strong institutions
Openalex Percentile: Top 16%
Crime Patterns and Interventions
1.13
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