Beyond assumptive deterrence: understanding the socio-environmental dynamics in crimes by Christian clerics and its implications for crime control

Ugwu, Ikenga Patrick; Ugwuoke, Christopher; Okpara, Kelechi E.

doi:10.1007/s10611-021-09996-5

Cited by 1 publication

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“…According to formula (2), the spatio-temporal transfer probability of criminal groups in regions is calculated, and the spatio-temporal transition probability matrix U n is constructed. en, the historical track data is used to train the prediction model, and the correction terms of the number of criminals in adjacent areas and the transition probability matrix are calculated according to formulas (5) and (6). Finally, formula ( 9) is used to predict the number of regional crimes.…”

Section: Main Flow Of the Algorithmmentioning

confidence: 99%

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An Improved Transition Probability Matrix for Crime Distribution Prediction

Zhang

2022

Computational Intelligence and Neuroscience

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The occurrence of crime has always been the main problem affecting urban public security and social security environment. Therefore, the prevention and control of crime is the focus of public security work. The traditional police strategy has poor timeliness and cannot respond and adjust in real time with the occurrence of criminal activities, and its deterrence and control of criminal activities are limited. To address the problem of low accuracy of existing crime distribution prediction models, an improved transition probability matrix for crime distribution prediction is proposed in this paper. Based on a large number of trajectory data of criminals, this paper quantitatively describes the temporal and spatial characteristics of crowd movement in different areas of the city by using the temporal and spatial transfer probability. Then, combining Markov chain and Bayes’ theorem, the probability model of spatio-temporal transfer of criminal groups in regions is constructed. Finally, the model predicts the number of crimes in urban grid areas.

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Section: Main Flow Of the Algorithmmentioning

confidence: 99%

“…Researchers often use a number of classic machine learning and pattern recognition methods to solve this problem. However, previous studies have neglected the full combination of historical crime data and socio-environmental factors [ 6 ]. Previous studies on spatio-temporal analysis of crime are usually based on historical crime data.…”

Section: Introductionmentioning

confidence: 99%

An Improved Transition Probability Matrix for Crime Distribution Prediction

Zhang

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

Beyond assumptive deterrence: understanding the socio-environmental dynamics in crimes by Christian clerics and its implications for crime control

Cited by 1 publication

References 21 publications

An Improved Transition Probability Matrix for Crime Distribution Prediction

An Improved Transition Probability Matrix for Crime Distribution Prediction

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