Personal Extreme Violent Crimes: Typologies, Offender Profiles, and Innovative Prevention Frameworks for Public Security Agencies

Ziyue Guo

Authors

Ziyue Guo Faculty of Law, University of New South Wales, Sydney, New South Wales, Australia Author

Keywords:

personal extreme violent crimes, crime prevention, big data surveillance, law enforcement strategies, psychological analysis

Abstract

Personal extreme violent crimes (PEVCs) pose severe threats to public security, exhibiting unique characteristics such as impulsive, antisocial behaviors, and the use of brutal methods that result in significant casualties and social impact. This study systematically analyzes PEVCs by exploring their classification, offender motivations, psychological structures, and behavioral patterns. The challenges in preventing and controlling these crimes are examined, particularly the unpredictability of offenders, the hidden nature of their intent, and institutional limitations in early intervention. Leveraging a big data framework, this paper proposes a comprehensive crime prevention strategy that integrates early warning systems, intelligence-driven surveillance, and enhanced emergency response mechanisms. Additionally, post-incident management measures, including community engagement initiatives and targeted social support programs, are discussed to mitigate the risks of PEVC recurrence. Finally, insights from community-based conflict resolution models are considered to address the root causes of these crimes. The study highlights the necessity of a multifaceted approach that combines law enforcement, social governance, and technological advancements to effectively prevent and control PEVCs.

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