Analysis of the Re-offending Risk of Community Correction Personnel Based on Activity Path
- DOI
- 10.2991/978-2-38476-305-4_19How to use a DOI?
- Keywords
- Global Positioning System; Geographic Information System; Community Correction; Activity Path; re-offending
- Abstract
This paper uses the activity paths, activity trajectories and areas of community correction personnel obtained during the supervision process to conduct intelligent reasoning on the recidivism risk of community correction personnel. The re-offending risk of community corrections personnel is analyzed based on four characteristics: activity area, activity frequency and regularity, activity trajectory pattern, and activity location. It is helpful to identify community corrections personnel with high crime risks, conduct psychological and behavioral interventions on them in a timely manner, formulate personalized correction plans, adjust supervision measures and intensity, prevent them from committing crimes again, and ensure social security.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ping Wang AU - Xuemei Zhu PY - 2024 DA - 2024/11/18 TI - Analysis of the Re-offending Risk of Community Correction Personnel Based on Activity Path BT - Proceedings of the 2024 4th International Conference on Public Relations and Social Sciences (ICPRSS 2024) PB - Atlantis Press SP - 151 EP - 158 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-305-4_19 DO - 10.2991/978-2-38476-305-4_19 ID - Wang2024 ER -