通过警察犯罪数据了解亲密伴侣暴力:描述性和时间洞察力
1Age-Appropriate Human-Machine Systems, Institute of Psychology and Ergonomics, Technische Universität Berlin, Fasanenstraße 1, 10623 Berlin, Germany.
Behavioral sciences (Basel, Switzerland)
|January 28, 2026
概括
警方犯罪报告显示,从2020年到2023年,洛杉矶发生了超过74,000起亲密伴侣暴力事件 (IPV). 分析显示,大多数物理IPV发生在没有武器的家中,时间趋势稳定.
科学领域:
- 犯罪学 犯罪学
- 公共卫生 公共卫生
- 社会学 社会学 社会学
背景情况:
- 警方犯罪报告是亲密伴侣暴力 (IPV) 研究中未充分利用的数据来源.
- 这些报告为IPV事件特征和时间模式提供了系统的,人口层面的见解.
- 现有的研究往往依赖于调查或临床数据,可能错过了更广泛的趋势.
研究的目的:
- 从2020年1月到2023年12月,对洛杉矶的IPV犯罪报告进行描述性分析.
- 使用季节性自回归集成移动平均值 (SARIMA) 建模IPV事件的时间趋势.
- 为IPV预防和应对策略提供可操作的见解.
主要方法:
- 对74,776起IPV相关事件的描述性分析报告给洛杉矶警察局 (LAPD).
- 应用SARIMA模型来分析时间动态和识别季节性或流行病相关的变化.
- 事件按地点,受害者的性别,IPV亚型和武器参与情况进行分类.
主要成果:
- 每天平均报告有51.22起IPV事件.
- 大多数事件发生在住宅环境 (71.9%),主要涉及女性 (77.35%),并被归类为物理IPV (77.0%).
- 物理IPV事件很少涉及武器 (83.82%),时间分析显示稳定的季节性模式,没有流行病特有的激增.
结论:
- 警方犯罪报告为了解IPV动态提供了宝贵的数据.
- 调查结果强调了在家庭环境中实体性IPV的流行以及武器的低使用率.
- 该研究发现了稳定的时间趋势,表明了一致的IPV模式,而不是由流行病引起的变化.
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