Titlebook: Crime Solvability Factors; Police Resources and Richard Timothy Coupe,Barak Ariel,Katrin Mueller-J Book 2019 Springer Nature Switzerland AG

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書目名稱Crime Solvability Factors影響因子(影響力)




書目名稱Crime Solvability Factors影響因子(影響力)學科排名




書目名稱Crime Solvability Factors網(wǎng)絡公開度




書目名稱Crime Solvability Factors網(wǎng)絡公開度學科排名




書目名稱Crime Solvability Factors被引頻次




書目名稱Crime Solvability Factors被引頻次學科排名




書目名稱Crime Solvability Factors年度引用




書目名稱Crime Solvability Factors年度引用學科排名




書目名稱Crime Solvability Factors讀者反饋




書目名稱Crime Solvability Factors讀者反饋學科排名

松軟無力

征稅

rectocele

Population-Level Analysis of Residential Burglaries,nd and Wales context. A large number of factors were correlated with solved cases, but just 12 are effective solvability factors. This study confirms the findings of previous studies in identifying the following variables as effective solvability factors, a) fingerprints recovered; b) offender seen;

MINT

,Solvability Indicators for ‘First Officers’: Targeting Eyewitness Questioning at Non-residential Budence occupying premises close to targets may be identified. It also illustrates the benefits of identifying solvability indicators that enable resources to be targeted at the most promising subsets of incidents, where suspects have been seen and where definite suspect IDs may be obtained by questio

ASSET

Pickpocketing on Railways,ection and to use them to develop a predictive model for guiding case-screening decisions. It is based on a population of 36,260 pickpocketing incidents that took place on railway property policed by the British Transport Police between 2010 and 2015. Ten solvability factors were identified that exp

ASSET

Metal Theft Solvability and Detection,mines how they vary geographically in different British Transport Police (BTP) regions. The analysis of BTP data for 4001 metal theft offences committed between 2009 and 2010 enables nine significant solvability factors to be identified. The most important of these are checks with scrap metal dealer

Frenetic

Detecting and Combating Internet Telephony Fraud,cted to the internet and the use of stolen credit and debit cards to register as an internet telephone customer. In both types, fraudsters call revenue-sharing numbers, which are often located in overseas countries with high levels of corruption. The fraudsters themselves own or take a share of the

Pedagogy

Targeting Factors that Predict Clearance of Non-domestic Assaults, algorithmic prediction model for the solvability of violent crime before testing it against an existing experiential model. It is based on a complete population of 29,105 violent offences reported to the UK’s West Midlands Police between 1 March 2012 and 31 December 2013. The data set was split in

floaters

Solvability Factors and Investigative Strategy for Faith Hate Crime: Anti-Semitic and Islamophobic assaults and criminal damage and public order offences that occurred between January 2000 and April 2017. Only 22% of Islamophobic and 15% of anti-Semitic offences were detected, with more assaults than public order offences, and more public order offences than criminal damage offences, being detec