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Repetitive deliberate fires: Development and validation of a methodology to detect series.

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Title: Repetitive deliberate fires: Development and validation of a methodology to detect series.
Authors: Bruenisholz, Eva1 eva.bruenisholz@unil.ch, Delémont, Olivier1, Ribaux, Olivier1, Wilson-Wilde, Linzi2
Source: Forensic Science International. Aug2017, Vol. 277, p148-160. 13p.
Subjects: Forensic statistics, Criminal investigation methodology, Geospatial data, Criminal methods, Mobility (Structural dynamics), Management
Abstract: The detection of repetitive deliberate fire events is challenging and still often ineffective due to a case-by-case approach. A previous study provided a critical review of the situation and analysis of the main challenges. This study suggested that the intelligence process, integrating forensic data, could be a valid framework to provide a follow-up and systematic analysis provided it is adapted to the specificities of repetitive deliberate fires. In this current manuscript, a specific methodology to detect deliberate fires series, i.e. set by the same perpetrators, is presented and validated. It is based on case profiles relying on specific elements previously identified. The method was validated using a dataset of approximately 8000 deliberate fire events collected over 12 years in a Swiss state. Twenty possible series were detected, including 6 of 9 known series. These results are very promising and lead the way to a systematic implementation of this methodology in an intelligence framework, whilst demonstrating the need and benefit of increasing the collection of forensic specific information to strengthen the value of links between cases. [ABSTRACT FROM AUTHOR]
Copyright of Forensic Science International is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Repetitive deliberate fires: Development and validation of a methodology to detect series.
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  Data: <searchLink fieldCode="AR" term="%22Bruenisholz%2C+Eva%22">Bruenisholz, Eva</searchLink><relatesTo>1</relatesTo><i> eva.bruenisholz@unil.ch</i><br /><searchLink fieldCode="AR" term="%22Delémont%2C+Olivier%22">Delémont, Olivier</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ribaux%2C+Olivier%22">Ribaux, Olivier</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Wilson-Wilde%2C+Linzi%22">Wilson-Wilde, Linzi</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Forensic+Science+International%22">Forensic Science International</searchLink>. Aug2017, Vol. 277, p148-160. 13p.
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  Data: <searchLink fieldCode="DE" term="%22Forensic+statistics%22">Forensic statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Criminal+investigation+methodology%22">Criminal investigation methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Geospatial+data%22">Geospatial data</searchLink><br /><searchLink fieldCode="DE" term="%22Criminal+methods%22">Criminal methods</searchLink><br /><searchLink fieldCode="DE" term="%22Mobility+%28Structural+dynamics%29%22">Mobility (Structural dynamics)</searchLink><br /><searchLink fieldCode="DE" term="%22Management%22">Management</searchLink>
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  Label: Abstract
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  Data: The detection of repetitive deliberate fire events is challenging and still often ineffective due to a case-by-case approach. A previous study provided a critical review of the situation and analysis of the main challenges. This study suggested that the intelligence process, integrating forensic data, could be a valid framework to provide a follow-up and systematic analysis provided it is adapted to the specificities of repetitive deliberate fires. In this current manuscript, a specific methodology to detect deliberate fires series, i.e. set by the same perpetrators, is presented and validated. It is based on case profiles relying on specific elements previously identified. The method was validated using a dataset of approximately 8000 deliberate fire events collected over 12 years in a Swiss state. Twenty possible series were detected, including 6 of 9 known series. These results are very promising and lead the way to a systematic implementation of this methodology in an intelligence framework, whilst demonstrating the need and benefit of increasing the collection of forensic specific information to strengthen the value of links between cases. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Forensic Science International is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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