全球智库信息集成服务系统(G2TT): Using an agent-based crime simulation to predict the effects of urban regeneration on individual household burglary risk.

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来源类型	Article
规范类型	其他
DOI	10.1068/b38057
	Using an agent-based crime simulation to predict the effects of urban regeneration on individual household burglary risk.
	Malleson N; Heppenstall AJ; See L; Evans A
发表日期	2013
出处	Environment and Planning B: Planning and Design 40 (3): 405-426
出版年	2013
语种	英语
摘要	Making realistic predictions about the occurrence of crime is a challenging research area. City-wide crime patterns depend on the behaviour and interactions of a huge number of people (including victims, offenders, and passers-by) as well as a multitude of environmental factors. Modern criminology theory has highlighted the individual-level nature of crime-whereby overall crime rates emerge from individual crimes that are committed by individual people in individual places-but traditional modelling methodologies struggle to capture the complex dynamics of the system. The decision whether or not to commit a burglary, for example, is based on a persons unique behavioural circumstances and the immediate surrounding environment. To address these problems, individual-level simulation techniques such as agent-based modelling have begun to spread to the field of criminology. These models simulate the behaviour of individual people and objects directly; virtual "agents" are placed in an environment that allows them to travel through space and time, behaving as they would do in the real world. We outline an advanced agent-based model that can be used to simulate occurrences of residential burglary at an individual level. The behaviour within the model closely represents criminology theory and uses real-world data from the city of Leeds, UK as an input. We demonstrate the use of the model to predict the effects of a real urban regeneration scheme on local households.
主题	Ecosystems Services and Management (ESM)
关键词	Crime simulation Burglary Agent-based modelling Offender behaviour
URL	http://pure.iiasa.ac.at/id/eprint/10423/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/129746
推荐引用方式 GB/T 7714	Malleson N,Heppenstall AJ,See L,et al. Using an agent-based crime simulation to predict the effects of urban regeneration on individual household burglary risk.. 2013.