ORBi: Trotta Marie - Reconstitution of the journeys to crime and location of their origin in the context of a crime series. A solution for a real case study.

Reference : Reconstitution of the journeys to crime and location of their origin in the context of a...


	Document type :	Scientific congresses and symposiums : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Multidisciplinary, general & others
	To cite this reference:	http://hdl.handle.net/2268/87194

Title :	Reconstitution of the journeys to crime and location of their origin in the context of a crime series. A solution for a real case study.
Language :	English
Author, co-author :	Trotta, Marie [Université de Liège - ULg > Département de géographie > Cartographie et systèmes d'information géographique >]
	Kasprzyk, Jean-Paul [Université de Liège - ULg > Département de géographie > Labo Surfaces >]
	Donnay, Jean-Paul [Université de Liège - ULg > Département de géographie > Cartographie et systèmes d'information géographique >]
Publication date :	15-Apr-2010
Audience :	International
Event name :	AAG- 2010 Annual Meeting
Event date :	14th october 2010 - 18th october 2010
Event organizer :	Association of American Geographers (AAG)
Event place (city) :	Whashington DC
Event country :	USA
Keywords :	[en] geographic profiling ; hideout ; cost surface analysis
Abstract :	[en] Dynamic studies in crime analysis usually use distance-decay models applied on isotropic surfaces. If the distance actually traveled within the context of a crime series can be estimated, another approach, independent of the widely discussed form of the distance decay, can be suggested. Besides, there is a need for studies on anisotropic space, especially in European cities, given their complex road network. Therefore, this study takes this aspect into account. We use data of a real case provided by the Belgian Police Department. Five criminal events have been committed in a short period of time by individuals using the same stolen car before abandoning it. The milometer allowed the Police to estimate the mileage covered by the criminals. The purpose of the analysis is to map out all the possible journeys to crime in order to find the offender's hideout. First, we generate cost surfaces propagated from the locations of the criminal events over the dense road network in a high-resolution raster file. This provides a distance value for all pixels of the potential paths to each crime. Then these distances are cumulated for all criminal events and the sum is confronted to the recorded mileage. This gives a restricted list of road sections from which all event locations can be reached under the constraint of the mileage covered. These results are then refined through a multi-criteria analysis using exogenous data, such as land covers. The small area finally identified contains indeed the hideout as confirmed by the Police Department.
Permalink :	http://hdl.handle.net/2268/87194

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