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Serial offenders' spatial behaviour: revisiting the marauder/commuter dichotomy

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Serial offenders' spatial behaviour:

revisiting the marauder/commuter

dichotomy

10th September 2010 10th Annual Conference of the European Society of Criminology

Trotta Marie

PhD student in Geomatics University of Liège

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• Geographic profiling

a methodology that uses the location of a series of

crimes attributed to the same offender in order to

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Spatial distribution

and

spatial interaction

are the two

categories of GP methodologies,

both limited to the marauder’s behaviour

!

Techniques

Critics

Spatial distribution Spatial interaction Offender mobility Average location Center of minimum distance

Kernel density surface Ellipses of dispersion

Journey to crime (JTC)

Distance decay functions Bayesian JTC

Sensitive to outliers

Rely on aggregated trip distributions

Limited to marauder’s spatial

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What does a marauder spatial behaviour mean?

Several authors made a distinction between mobile and stable

offenders

Hunting process Hunter, troller and trapper Poacher Rossmo (1997,2000a,b)

Link between the home and criminal ranges

Marauder

Commuter

Canter & Larkin (1993) Level of organisation Disorganized Organized Ressler et al (1988)

Criterion for the typology Geographically

stable Geographically

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Commuter vs Marauder

The Circle theory

Commuter Marauder

Home range Criminal range

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Are we facing a commuter or a marauder's behaviour ?

Attempts to make this distinction with the elements of the crime

scenes

– Meaney (2004): travelled distance according to

• Crime types (Burglars > Arsonists >Sex offender) • Urbanisation (Metropolitan areas < Rural areas)

– Lundrigan (2006):

• Distance between the two closest offences

– Paulsen (2007): geometric and temporal elements • Area of the convex polygon : larger for marauders • NNI value : more clustered for commuters

• Days

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What does the circle criterion mean here?

• It is more the distance between crimes sites than the relationship between the home range and the criminal range that conditions the distinction

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The relationship between home range and criminal range

need to be specified

Assumptions for both the circle hypothesis and the convex polygon:

– Space is considered as isotrope

– Euclidean distance is used to shape the home and criminal ranges

But

:

– In Economic geography:

• It is covered distance, even time or cost distance that shape the “home range”

– In criminal activities:

• Cost can be considered as



The home and the criminal range should be seen as

surfaces model by this cost distance

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The cost distance takes into account the influence of the

environment on trips

Constraints (binary variable): limit the directions

– Barriers (natural or anthropogenic) – Presence of potential targets

Factors : increase or decrease the perceived distance

– Accessibility of the sites – Risk to be seen or catch

Trip can not cross the lake

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Barriers

vary according to the mode of

transportation

Pedestrian : the highway is a barrier Car: the highway increases accessibility

Identification of the barriers is crucial as it help

– Not only to determine the directions where the distance decay functions should be applied

– But also to identify the mode of transportation

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Is the distribution of crimes influenced by attraction sites or

by an uneven distribution of

targets

?

If choice of some specific (more interesting) places, probably less relationship between the home and the criminal ranges

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Accessibility

: do major roads influence the journeys?

Assumption:

– In order to travel longer distances, an offender will chose a fast way at least for the major part of his way

– An offender who is travelling outside is “home range” has a bad

knowledge of the environment, he does not stray too far from the fast track

Creation of an index

If there is an influence of these roads:

Mean distance to major road << Mean intercrime distance

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How can we complement the analysis with

temporal information?

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Small timeslots allow to go further in the analysis

Assumption :

the offenses are conditioned by the routine activities

7h15 7h25 7h13 7h10 7h00 7h10 7h15 7h20 Time convergence 7h00 7h10 7h05 7h10 7h10 Time convergence 7h15 7h00 Time convergence

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Conclusions

The commuter/marauder distinction is still crucial to know if GP

methodologies can be applied

Cost distance shape the home and criminal ranges and then modify

the way to consider their relationship

Spatio-temporal relationships

help to describe the possible overlap

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Perspectives

Development of a search methodology based on cost distance

– Identification of the barriers to moving

– Estimation of the travel time: traffic conditions, …

– Evolution of the targets through time (potential attractive areas may vary with hours, weekday, special events)



Gis technique to analyse time-space convergence on

anisotropic space

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Any question?

Trotta Marie

Phd Student

Marie.Trotta@ulg.ac.be

Geomatics Unit

University of Liège (Sart Tilman)

Institute of Physics (Bât. B5a)

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