International Journal of Law Crime and Justice最新文献_第10页

Introduction and validation of the Modern Adolescent Dating Violence Attitude (MADVA) scale: A contemporary tool for assessing adolescent attitudes towards dating violence in offline and online environments 现代青少年约会暴力态度量表（MADVA）的介绍和验证：评估青少年对线下和线上环境中约会暴力态度的现代工具

IF 1 4区社会学

International Journal of Law Crime and Justice Pub Date : 2025-03-01 Epub Date: 2024-11-27 DOI: 10.1016/j.ijlcj.2024.100705

Gill Kirkman , Dominic Willmott , Daniel Boduszek , Agata Debowska

引用次数: 0

Study on the spatiotemporal evolution and influencing factors of theft crimes: A comparative analysis before and during COVID-19 盗窃犯罪时空演变及影响因素研究——基于新冠疫情前与疫情期间的对比分析

IF 1 4区社会学

International Journal of Law Crime and Justice Pub Date : 2025-03-01 Epub Date: 2024-12-24 DOI: 10.1016/j.ijlcj.2024.100719

Ziwan Zheng , Yucheng He , Xiaomin Jiang , Hequn Wu , Shiyu Sheng

{"title":"Study on the spatiotemporal evolution and influencing factors of theft crimes: A comparative analysis before and during COVID-19","authors":"Ziwan Zheng , Yucheng He , Xiaomin Jiang , Hequn Wu , Shiyu Sheng","doi":"10.1016/j.ijlcj.2024.100719","DOIUrl":"10.1016/j.ijlcj.2024.100719","url":null,"abstract":"<div><div>Focusing on JZ Province, China, the present study employs spatial analysis methods, including kernel density estimation, spatial autocorrelation, and Geodetector to explore the changes in the spatial and temporal patterns of theft crimes before and during COVID-19, as well as the spatial relationships between theft crimes and various factors concerning urban economic conditions and population dynamics. The results show that: (1) The pandemic significantly impacts theft rates, with an overall decrease of 27%. (2) Both before and during the pandemic, city centers and coastal regions experience the highest incidence of theft crimes. Theft crimes are mostly observed in economically prosperous and dynamic urban areas. The COVID-19 restrictions have a strong inhibitory effect on theft occurrences. (3) In both periods, government finances and regional economic conditions demonstrate strong explanatory power for theft crimes. A vibrant urban setting with more elderly and young people is positively correlated with theft activities.</div></div>","PeriodicalId":46026,"journal":{"name":"International Journal of Law Crime and Justice","volume":"80 ","pages":"Article 100719"},"PeriodicalIF":1.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting support for fine penalty replacing imprisonment: Crime type, the severity of crime, situational factors and demographic characteristics: A factorial survey approach 预测对罚金替代监禁的支持：犯罪类型、犯罪严重程度、情境因素和人口特征：一个析因调查方法

IF 1 4区社会学

International Journal of Law Crime and Justice Pub Date : 2025-03-01 Epub Date: 2024-12-28 DOI: 10.1016/j.ijlcj.2024.100717

Yuxi Shang , Dehao Xue , Jinli Zhang

引用次数: 0

The effects of absolute status, relative status, and patriarchal culture on the victimization of women: An international comparative study 绝对地位、相对地位和父权文化对女性受害的影响：国际比较研究

IF 1 4区社会学

International Journal of Law Crime and Justice Pub Date : 2025-03-01 Epub Date: 2024-12-26 DOI: 10.1016/j.ijlcj.2024.100722

Sohee Kim , Sungil Han , Melanie-Angela Neuilly

引用次数: 0

Using machine learning to conduct crime linking of residential burglary 利用机器学习进行住宅入室盗窃的犯罪关联

IF 1 4区社会学

International Journal of Law Crime and Justice Pub Date : 2025-03-01 Epub Date: 2024-12-10 DOI: 10.1016/j.ijlcj.2024.100716

Eric Halford, Ian Gibson

{"title":"Using machine learning to conduct crime linking of residential burglary","authors":"Eric Halford, Ian Gibson","doi":"10.1016/j.ijlcj.2024.100716","DOIUrl":"10.1016/j.ijlcj.2024.100716","url":null,"abstract":"<div><div>Traditional crime linkage methods face challenges with complex datasets, arguably necessitating more sophisticated analytical tools. This research investigates this issue by exploring the application of machine learning, specifically the Random Forest algorithm, as a method to enhance crime linkage analysis of residential burglary cases.</div><div>Using a dataset of 200 pairs of linked residential burglaries from the United Kingdom, this study employs the Random Forest technique to examine 67 identified crime features, including those within categories related to inter-crime distance, temporal patterns, such as time and day of the week, target selection, entry behaviour, crime scene conduct, and property stolen.</div><div>The key objective is to identify and reduce predictive characteristics that reliably link burglaries, whilst potentially overcoming the limitations of conventional approaches. Findings generally support existing literature but provide increased nuance by indicating that certain factors specifically related to shorter inter-crime distances, the time and date of the offences, and the target's dwelling type, significantly contribute to accurately linking crimes. We discuss these findings in the context of existing research on the subject.</div><div>Finally, we consider the benefits of using this novel methodology as a tool for crime linking. We argue that the improved accuracy, interpretability, and provision of multiple decision trees offers significant advantages for refining crime linkage practices, both operationally and in criminological research.</div></div>","PeriodicalId":46026,"journal":{"name":"International Journal of Law Crime and Justice","volume":"80 ","pages":"Article 100716"},"PeriodicalIF":1.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Women intimate partner violence revictimization during protection orders in Montevideo, Uruguay. Risk factors and policy implications 乌拉圭蒙得维的亚保护令期间妇女亲密伴侣暴力再次受害。风险因素和政策影响

IF 1 4区社会学

International Journal of Law Crime and Justice Pub Date : 2025-03-01 Epub Date: 2024-12-28 DOI: 10.1016/j.ijlcj.2024.100720

Victoria Gambetta, Sofía Vanoli-Imperiale

{"title":"Women intimate partner violence revictimization during protection orders in Montevideo, Uruguay. Risk factors and policy implications","authors":"Victoria Gambetta, Sofía Vanoli-Imperiale","doi":"10.1016/j.ijlcj.2024.100720","DOIUrl":"10.1016/j.ijlcj.2024.100720","url":null,"abstract":"<div><div>This study explores risk factors for Protection Order (PO) violation in intimate partner violence (IPV) cases in Montevideo, Uruguay, a topic not yet investigated in Latin America. Using a sample of 1057 police-reported IPV cases, logistic regression compares literature-supported risk factors with those used in public policy to predict women's IPV revictimization. Results show that 26% of offenders violate POs, mainly through harassment (82%) and psychological violence (46%), and police monitoring reduces risk of offenders' recidivism by 48.5%. Additionally, they highlight that IPV trajectories of both victims (OR = 1.85) and offenders (OR = 1.89) are the strongest predictors of reabuse. These findings suggest that Uruguayan policymakers should rethink police intervention and public action on IPV by focusing on two key actions: increasing investment in data collection and analysis to improve PO monitoring and police response, and developing strategies beyond criminal sanctions to address offender treatment and victim support to prevent IPV reabuse.</div></div>","PeriodicalId":46026,"journal":{"name":"International Journal of Law Crime and Justice","volume":"80 ","pages":"Article 100720"},"PeriodicalIF":1.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143135599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Jurisdiction in online speech crime cases in the European Union 欧盟网络言论犯罪案件的管辖权

IF 1 4区社会学

International Journal of Law Crime and Justice Pub Date : 2025-03-01 Epub Date: 2025-01-13 DOI: 10.1016/j.ijlcj.2024.100718

Anna Demenko

引用次数: 0

Safety and security in Abu Dhabi: The impact of policing on public perceptions 阿布扎比的安全与安保：治安对公众看法的影响

IF 1 4区社会学

International Journal of Law Crime and Justice Pub Date : 2025-03-01 Epub Date: 2025-01-28 DOI: 10.1016/j.ijlcj.2025.100728

Jacqueline Sebire , Gareth Stubbs , Mohamed Al Hanaee

引用次数: 0

Corrigendum to ‘Establishing the nexus among mob justice, human rights violations and the state: Evidence from Nigeria’ [Int. J. Crime Crim. Justice Law volume (2023) Start page–End page/100573] 建立暴民司法、侵犯人权和国家之间的联系：来自尼日利亚的证据' [Int. J. Crime Crim. Justice Law volume (2023) Start page-End page/100573]

IF 1 4区社会学

International Journal of Law Crime and Justice Pub Date : 2024-12-01 Epub Date: 2024-09-06 DOI: 10.1016/j.ijlcj.2024.100696

Ali Oladimeji Shodunke

引用次数: 0

On the decision-making framework for policing: A proposal for improving police decision-making 关于警务决策框架：改进警务决策的建议

IF 1 4区社会学

International Journal of Law Crime and Justice Pub Date : 2024-12-01 Epub Date: 2024-10-24 DOI: 10.1016/j.ijlcj.2024.100702

Eric Halford

{"title":"On the decision-making framework for policing: A proposal for improving police decision-making","authors":"Eric Halford","doi":"10.1016/j.ijlcj.2024.100702","DOIUrl":"10.1016/j.ijlcj.2024.100702","url":null,"abstract":"<div><div>This article introduces the Decision-Making Framework for Policing (DMFP), a comprehensive tool designed to enhance the decision-making understanding of police officers. The DMFP considers the principles of heuristic, naturalistic, and rational decision-making along a fluid cognitive continuum to create a framework that addresses the limitations of the existing police National Decision Model (NDM). It achieves this by including 10 proposed typologies of police decision-making including: Routine, Tactical, Operational, Crisis, Investigative, Ethical, Interpersonal, Administrative, Managerial, and Strategic. These are integrated alongside existing and adapted decision-making models which are presented using a mnemonic letter strategy. Although the DMFP is theoretical, and its utility is presently untested in comparison to the existing NDM, it is presented to provide a tool to help improve officers' tacit knowledge, pattern recognition, and experiential learning through provision of easily recallable mnemonic decision-models. Thereby fostering a deeper understanding of cognitive processes and the factors influencing police decisions, potentially increasing consistency in reasoning, reducing decision errors, and enhancing policing outcomes.</div></div>","PeriodicalId":46026,"journal":{"name":"International Journal of Law Crime and Justice","volume":"79 ","pages":"Article 100702"},"PeriodicalIF":1.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0