Journey to Crime Analysis

2017 ◽  
pp. 1095-1095
Keyword(s):  
Crime Analysis ◽  
Journey To Crime

Journey to Crime Analysis

2008 ◽  
pp. 601-601
Author(s):  
Shashi Shekhar ◽  
Hui Xiong
Keyword(s):  
Crime Analysis ◽  
Journey To Crime

scholarly journals Offender and victim ‘journey-to-crime’: Motivational differences among stranger rapists

2020 ◽  
Vol 69 ◽  
pp. 101707
Author(s):  
Ashley N. Hewitt ◽  
Julien Chopin ◽  
Eric Beauregard
Keyword(s):  
Journey To Crime

Personalized crime location prediction

2016 ◽  
Vol 27 (3) ◽  
pp. 422-450 ◽  
Author(s):  
MOHAMMAD A. TAYEBI ◽  
UWE GLÄSSER ◽  
MARTIN ESTER ◽  
PATRICIA L. BRANTINGHAM
Keyword(s):  
Law Enforcement ◽  
Urban Crime ◽  
Crime Analysis ◽  
Urban Landscapes ◽  
Location Prediction ◽  
Prevention Strategies ◽  
Pattern Theory ◽  
Activity Spaces ◽  
Crime Pattern Theory ◽  
Crime Pattern

Crime reduction and prevention strategies are vital for policymakers and law enforcement to face inevitable increases in urban crime rates as a side effect of the projected growth of urban population by the year 2030. Studies conclude that crime does not occur uniformly across urban landscapes but concentrates in certain areas. This phenomenon has drawn attention to spatial crime analysis, primarily focusing on crime hotspots, areas with disproportionally higher crime density. In this paper, we present CrimeTracer1, a personalized random walk-based approach to spatial crime analysis and crime location prediction outside of hotspots. We propose a probabilistic model of spatial behaviour of known offenders within their activity spaces. Crime Pattern Theory concludes that offenders, rather than venture into unknown territory, frequently select targets in or near places they are most familiar with as part of their activity space. Our experiments on a large real-world crime dataset show that CrimeTracer outperforms all other methods used for location recommendation we evaluate here.

Crime Mapping and Crime Analysis of Property Crimes in Jodhpur

2017 ◽  
Vol 55 (2) ◽  
pp. 205-219 ◽  
Author(s):  
Swikar Lama ◽  
Sikandar Singh Rathore
Keyword(s):  
Environmental Factors ◽  
Crime Prevention ◽  
Police Officers ◽  
Hot Spots ◽  
Hot Spot ◽  
Situational Crime Prevention ◽  
Crime Analysis ◽  
Crime Mapping ◽  
Property Crimes

AbstractThis study is based on crime mapping and crime analysis of property crimes in Jodhpur. The property crimes which were selected were house breaking, auto thefts and chain snatching. Data from police stations were used to generate the maps to locate hot spots of crimes. The profile of these hot spots was analyzed through observations supplemented with interviews of police officers and public 100 cases of house breaking and 100 cases of auto thefts were further analyzed to understand the contexts which lead to these crimes. These contexts are in consonance with situational crime prevention theories. This study may help to understand the environmental factors which may be responsible for certain places becoming hot spot areas of property crimes in Jodhpur.

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