The Simulation of the Journey to Residential Burglary

Hayslett-McCall, Karen; Qiu, Fang; Curtin, Kevin M.; Chastain, Bryan; Schubert, Janis; Carver, Virginia

doi:10.4018/9781599045917.ch014

Cited by 4 publications

(7 citation statements)

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“…The simple structure nevertheless represents an improvement in terms of behavioural realism over existing agent-based crime models (eg, Birks et al, 2008;Groff, 2007a;Hayslett-McCall et al, 2008;. Also, because the PECS framework is modular it is easy to add or remove different types of behaviour as appropriate and the future potential for improved representation behaviour is broad.…”

Section: Building Realistic Agentsmentioning

confidence: 94%

“…Although Birks et al (2008) made use of a simpler framework, other research which makes use of more realistic environments (eg, Groff, 2007a;2007b;Hayslett-McCall et al, 2008) has not attempted this. Other models use agents whose behaviour is partly predetermined, such that agents do not change their behaviour if their circumstances change whilst performing a particular action.…”

Section: Agent-based Crime Modellingmentioning

confidence: 96%

“…Nevertheless, the application areas are broad; models include simulations of drug markets (Dray et al, 2008), repeat victimisation (Johnson, 2008;Pitcher and Johnson, 2011 ), street robbery (Groff, 2007a;2007b;Liu et al, 2005), and burglary (Birks et al, 2008;Hayslett-McCall et al, 2008;). More details can be found in Liu and Eck (2008) and Groff and Mazerolle (2008).…”

Section: Agent-based Crime Modellingmentioning

confidence: 99%

See 2 more Smart Citations

Using an Agent-Based Crime Simulation to Predict the Effects of Urban Regeneration on Individual Household Burglary Risk

Malleson

Heppenstall

See

et al. 2013

Environ Plann B Plann Des

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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 person's 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 tbem 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.

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Section: Building Realistic Agentsmentioning

confidence: 94%

Section: Agent-based Crime Modellingmentioning

confidence: 96%

Section: Agent-based Crime Modellingmentioning

confidence: 99%

See 1 more Smart Citation

Using an Agent-Based Crime Simulation to Predict the Effects of Urban Regeneration on Individual Household Burglary Risk

Malleson

Heppenstall

See

et al. 2013

Environ Plann B Plann Des

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show abstract

“…More recently, a specialized book of Liu and Eck (2008) was published on this subject, as well as a special issue by the Journal of Experimental Criminology (Groff and Mazerolle, 2008). Among those works, a variety of crime behaviors has been simulated: for example, street robbery (Groff, 2007;Wang et al, 2008), residential burglary (Hayslett-McCall et al, 2008;Malleson et al, 2009), drug dealing (Dray et al, 2008, and fraud (Kim and Xiao, 2008). Moreover, there are a number of in-depth discussions about fundamental simulation questions, such as verification (Townsley and Johnson, 2008), data inadequacy (Eck and , and implications of simulation results for policy making (Groff and Birks, 2008).…”

Section: Computational Environmental Criminologymentioning

confidence: 99%

“…Conventional statistical analysis is limited to sampling at a few points in time to infer the entire process, whereas computer simulation allows for the recording of offenders' behaviors and internal states at the finest time interval. As such, Hayslett-McCall et al (2008) could monitor the journey to burglary for every individual. Lastly, various policing experimentations can be implemented in the virtual laboratory.…”

Section: Computational Environmental Criminologymentioning

confidence: 99%

Analyzing Crime Displacement with a Simulation Approach

Wang

Liu

Eck

2014

Environ Plann B Plann Des

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Crime tends to cluster in small areas. Police have taken advantage of this by identifying these 'hotspots' of crime and concentrating their resources in these locations. This practice has shown evidence of reducing crime in the hotspot area. While it is possible that the benefits of such reduction might be diffused to the surrounding areas, one criticism of this practice is that the crime in the hotspot may also be displaced to the surrounding areas. A number of empirical studies have investigated the spatial pattern of crime displacement. However, few have attempted to uncover the mechanisms that lead to the displacement of crime. In this paper we present a theory-driven approach that applies agent-based modeling to simulate the mechanism of crime and policing. The processes that drive possible displacement of crime are investigated through experiments in a computational laboratory-SPACES. Our results reveal that crime cannot be displaced easily because opportunities for crime are limited in low-crime areas and offenders are often attached to the area where they perform their routine activities.

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A study on the journey to homicide and offender characteristics in Spain

Santos-Hermoso

Villalba‐García

Camacho‐Collados³

et al. 2021

Journal Invest Psychology

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In this study, the displacement of 687 murderers in Spain (2010–2012) is analysed. The Euclidean distance between the offender's residence and the furthest scene related to the event has been calculated. The analyses showed that the murderers registered a displacement of 0.5 km, with 255 cases of non‐traveller homicide (37.1%). The bivariate analysis found that men, young and foreign, with a criminal record and unrelated to the victim, registered a large distance, as well as multi‐offender homicides and were related to criminal activities. Traveller homicide registered a displacement of 4.3 km, with adults unrelated to the victim travelling the farthest. Multi‐offender and crime‐related homicides continued to show the largest distance. Multivariate analyses showed that if the offender is foreign, has no previous relationship with the victim and there are several offenders involved, the distance will be larger. When only traveller homicides were analysed, only the type of relationship showed significant differences.

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The Simulation of the Journey to Residential Burglary

Cited by 4 publications

References 0 publications

Using an Agent-Based Crime Simulation to Predict the Effects of Urban Regeneration on Individual Household Burglary Risk

Using an Agent-Based Crime Simulation to Predict the Effects of Urban Regeneration on Individual Household Burglary Risk

Analyzing Crime Displacement with a Simulation Approach

A study on the journey to homicide and offender characteristics in Spain

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