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“Hot street”of crime detection in London borough and lockdown impacts

Geo-Spatial Information Science 2023年第4期26卷 716-732页

作者： Yuying Wu Yijing Li CUSP London Department of InformaticsKing’s College LondonLondonUK

In recent years,the police intervention strategy“Hot spots policing”has been effective in combating ***,as cities are under the intense pressure of increasing crime and scarce police resources,police patrols are expected to target more accurately at finer geographic units rather than ballpark“hot spot”*** study aims to develop an algorithm using geographic information to detect crime patterns at street level,the so-called“hot street”,to further assist the Criminal Investigation Department(CID)in capturing crime change and transitive moments *** algorithm applies Kernel Density Estimation(KDE)technique onto street networks,rather than traditional areal units,in one case study borough in London;it then maps the detected crime“hot streets”by crime *** was found that the algorithm could successfully generate“hot street”maps for Law Enforcement Agencies(LEAs),enabling more effective allocation of police patrolling;and bear enough resilience itself for the Strategic Crime Analysis(SCA)team’s sustainable utilization,by either updating the inputs with latest data or modifying the model parameters(*** kernel function,and the range of spillover).Moreover,this study explores contextual characteristics of crime“hot streets”by applying various regression models,in recognition of the best fitted Geographically Weighted Regression(GWR)model,encompassing eight significant contextual factors with their varied effects on crimes at different *** discussed the impact of lockdown on crime rates,it was apparent that the land-use driven mobility change during lockdown was a fundamental reason for changes in ***,these research findings have provided evidence and practical suggestions for crime prevention to local governors and policy practitioners,through more optimal urban planning(*** Traffic Neighborhoods),proactive policing(*** the listed top 10“Hot Streets”of crime),publicizing of laws and regulations,and installations

关键词： Hot street crime kernel density estimation spatial regression lockdown mobility change

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