Results 81 to 90 of about 2,461 (194)

A New Model for Forecasting the Locations of Next Crime

, 2010
The paper is aimed at forecasting the locations of next crime. Based on local demographic factors, geographic factors and environment psychological factors, it establishes a Multi-factor Evaluation Model.
Jia Di Wan, Wen Jing Yu, Yuan Biao Zhang, Chuan He   +3 more
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Forecasting quarterly aggregate crime series

In this paper we assess the forecasting performance of quarterly economic models of aggregate property and personal crime. We show that models that include long-run relationships between crime and its economic determinants tend to generate inaccurate ...

core  

‘Transitions after transitions’ : coloured revolutions and organized crime in Georgia, Ukraine and Kyrgyzstan

, 2010
This dissertation addresses organized crime in post-Soviet Eurasia (Georgia, Ukraine, Kyrgyzstan) exploring the nexus between politics, business and crime. Based on extensive field research in the three countries the dissertation examines organized crime
Kupatadze, Alexander
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Power of Criminal Attractors: Modeling the Pull of Activity Nodes [PDF]

The spatial distribution of crime has been a long-standing interest in the field of criminology. Research in this area has shown that activity nodes and travel paths are key components that help to define patterns of offending.
Richard Frank, Andrew Reid, Patricia Brantingham, Suraj Singh, Vahid Dabbaghian, Jonathan Cinnamon   +5 more
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Understanding the impact of urban heat islands on crime: insights from temperature, population density, and green canopy cover

Crime Science
Emergent literature suggests that micro- and macro-climates influence criminal behaviour; a complex phenomenon that is still incipient in theory development.
Emil E. Jonescu, Chamil Erik Ramanayaka, Oluwole A. Olatunji, Talia J. Uylaki   +3 more
doaj   +1 more source

Forecasting Crime Rates Utilizing Machine Learning and Economic Indicators

: The following project utilized the correlation between economic indicators and crime rates to build tree-based machine learning algorithms that predict monthly crime rates in Ohio.
Miller, Owen
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Time series analysis and forecasting of crime data

, 2019
USA has been grappling with crime for decades now and had made significant improvement. However, crime remains to be one of the core societal problems. To build a safer society, we need to take advantage of 21st century's technology.
Divya Sindhuri Devarakonda
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Forecasting Violent Crime Hotspots Using a Theory-Driven Algorithm [PDF]

, 2019
Crime hotspot forecasting is an important part of crime prevention and lessens the delay between a Police call and the physical intervention. Recent researches and developments in this area focus on enriching the historical data and sophisticated ...
Chidozie, Felix, Adesola, Falade, Azeta, A. A., Oni, Aderonke A   +3 more
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PROGNOZAREA ŞI REDUCEREA CRIMINALITĂŢII GULERELOR ALBE PRIN METODA TESTĂRILOR PRE-ANGAJATOARE ÎN POLITICA PENALĂ A STATULUI: REZULTATELE EMPIRICE PENTRU MOLDOVA ŞI ISRAEL

Studia Universitatis Moldaviae: Stiinte Sociale, 2016
The purpose of the present article is to elaborate a valid method of forecasting of the potential offender during the hiring process by means of pre-employment tests as an integral part of the process of prevention and counteracting of the phenomenon of
USM ADMIN
doaj  

Spatiotemporal forecasts of London’s crime hotspots

, 2022
This study investigates and predicts future crime hotspots of London via spatiotemporal modelling. A model was sought which provided ethical, unbiased and accurate predictions of forecasted crime hotspots in London, with the widespread societal benefits of reduced crime rates serving as motivation. This was successfully achieved via construction of the
openaire   +1 more source