Using big data analytics and genetic algorithms to predict street crime and optimise crime reduction measures

使用大数据分析和遗传算法预测街头犯罪并优化减少犯罪措施

• 批准号: ES/L003287/1
• 负责人: Richard Bellingham
• 金额: $ 25.23万
• 依托单位: University of Strathclyde
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FL003287%2F1
• 关键词: Using; big; data; analytics; genetic

Street crime and fear of street crime have significant adverse impacts on individual lives, the use and regeneration of urban areas, the ability to attract businesses and investment, the price of property, and the ability of citizens to live full and creative lives. This project will use the city of Glasgow as model to analyse multiple live and historic datasets (such as CCTV) to understand the pattern of crime in the city in new ways - potentially finding previously undiscovered relationships. It will create simulations and models that allow new approaches to be developed and tested for managing street environments to reduce crime - potentially including improved design of street lighting and soundscapes. As well as reduced street crime these strategies will seek to balance other objectives - such as lower service costs (e.g. from improved design of street lighting, and policing patterns), lower carbon emissions, and improved public confidence and acceptance. These strategies will then be tested through using the city as a living lab, testing solutions on real city streets - with the impact of different strategies being tested in a range of different situations.

街头犯罪和对街头犯罪的恐惧对个人生活、城市地区的使用和重建、吸引企业和投资的能力、财产价格以及公民过上充实和创造性生活的能力产生了重大的不利影响。该项目将以格拉斯哥市为模型，分析多个实时和历史数据集（如闭路电视），以新的方式了解该市的犯罪模式-可能发现以前未发现的关系。它将创建模拟和模型，允许开发和测试管理街道环境以减少犯罪的新方法-可能包括改进街道照明和声景的设计。除了减少街头犯罪外，这些战略还将寻求平衡其他目标，如降低服务成本（例如通过改进街道照明设计和警务模式）、降低碳排放以及提高公众信心和接受度。这些策略将通过将城市作为一个生活实验室进行测试，在真实的城市街道上测试解决方案-在一系列不同的情况下测试不同策略的影响。

项目成果

A comparison between the cost effectiveness of CCTV and improved street lighting as a means of crime reduction

闭路电视与改善街道照明作为减少犯罪手段的成本效益比较

• DOI: 10.1016/j.compenvurbsys.2017.09.008
• 发表时间: 2018
• 期刊: Computers, Environment and Urban Systems
• 作者: Lawson T