000 02746nam a22004695i 4500
001 978-3-319-03185-9
003 DE-He213
005 20140220082513.0
007 cr nn 008mamaa
008 140109s2014 gw | s |||| 0|eng d
020 _a9783319031859
_9978-3-319-03185-9
024 7 _a10.1007/978-3-319-03185-9
_2doi
050 4 _aHV6001-7220.5
072 7 _aJKV
_2bicssc
072 7 _aSOC004000
_2bisacsh
082 0 4 _a364
_223
100 1 _aPease, Ken.
_eauthor.
245 1 0 _aUsing Modeling to Predict and Prevent Victimization
_h[electronic resource] /
_cby Ken Pease, Andromachi Tseloni.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aVIII, 80 p. 11 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Criminology,
_x2192-8533 ;
_v13
505 0 _aIntroduction -- Crime Concentration -- Preventing Repeat Victimization -- Predicting Frequent Victimization -- Preventing Recurring Victimization -- Conclusions.
520 _aThis work provides clear application of a new statistical modeling technique that can be used to recognize patterns in victimization and prevent repeat victimization. The history of crime prevention techniques range from offender-based, to environment/situation-based, to victim-based. The authors of this work have found more accurate ways to predict and prevent victimization using a statistical modeling, based around crime concentration and sub-group profiling with regard to crime vulnerability levels, to predict areas and individuals vulnerable to crime. Following from this prediction, they propose policing strategies to improve crime prevention based on these predictions. With a combination of immediate actions and longer-term research recommendations, this work will be of interest to researchers and policy makers in focused on crime prevention, police studies, victimology and statistical applications.
650 0 _aSocial sciences.
650 0 _aStatistics.
650 0 _aCriminology.
650 1 4 _aSocial Sciences.
650 2 4 _aCriminology & Criminal Justice.
650 2 4 _aStatistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
700 1 _aTseloni, Andromachi.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319031842
830 0 _aSpringerBriefs in Criminology,
_x2192-8533 ;
_v13
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-03185-9
912 _aZDB-2-SHU
999 _c92973
_d92973