NDLI: Analyzing an Offender's Journey to Crime: A Criminal Movement Model (CriMM)

Content Provider	IEEE Xplore Digital Library
Author	Iwanski, N. Frank, R. Dabbaghian, V. Reid, A. Brantingham, P.
Copyright Year	2011
Abstract	In the current study we develop a Criminal Movement Model (CriMM) to investigate the relationship between simulated travel routes of offenders along the physical road network and the actual locations of their crimes in the same geographic space. With knowledge of offenders' home locations and the locations of major attractors, we are able to model the routes that offenders are likely to take when travelling from their home to an attractor by employing variations of Dijkstra's shortest path algorithm. With these routes plotted, we then compare them to the locations of crimes committed by the same offenders. This model was applied to five attractor locations within the Greater Vancouver Regional District (GVRD) in the province of British Columbia, Canada. Information about offenders in these cities was obtained from five years worth of real police data. After performing a small-scale analysis for each offender to investigate how far off their shortest path they go to commit crimes, we found that a high percentage of crimes were located along the paths taken by offenders in the simulations. Aggregate analysis was also performed to observe travel patterns in different areas of the cities and how they relate to the amount of crime in each neighbourhood. The results are discussed in relation to both theory and potential policy implications.
Starting Page	70
Ending Page	77
File Size	1282013
Page Count	8
File Format	PDF
ISBN	9781457714641
DOI	10.1109/EISIC.2011.13
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-12
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Analytical models Roads Radiation detectors Street segment Crime attractor Cities and towns Shortest path Road network Educational institutions Data models Journey to crime Mathematical model
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

2011 european intelligence and security informatics conference analyzing an offender’s journey to crime: a criminal movement model (crimm).

A Computational Model for Predicting the Location of Crime Attractors on a Road Network

Finding Criminal Attractors Based on Offenders' Directionality of Crimes

Cellular automata-based spatial dynamic modeling for analyzing urban land use change

Study of shortest path algorithm dynamic model based on half space

Scalable routing technique using road hierarchy for vehicular networks

A shortest path algorithm based on hierarchical graph model

Public Transportation Guidance Model and Algorithm

Risk Maps Generation for Road Accidents: The Application Architecture and Functionality

Analyzing an Offender's Journey to Crime: A Criminal Movement Model (CriMM)

Similar Documents

2011 european intelligence and security informatics conference analyzing an offender’s journey to crime: a criminal movement model (crimm).

A Computational Model for Predicting the Location of Crime Attractors on a Road Network

Finding Criminal Attractors Based on Offenders' Directionality of Crimes

Cellular automata-based spatial dynamic modeling for analyzing urban land use change

Study of shortest path algorithm dynamic model based on half space

Scalable routing technique using road hierarchy for vehicular networks

A shortest path algorithm based on hierarchical graph model

Public Transportation Guidance Model and Algorithm

Risk Maps Generation for Road Accidents: The Application Architecture and Functionality

Analyzing an Offender's Journey to Crime: A Criminal Movement Model (CriMM)