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dc.contributor.authorChang, Hsin-Lien_US
dc.contributor.authorShih, Chang-Kuen_US
dc.date.accessioned2019-04-02T05:58:12Z-
dc.date.available2019-04-02T05:58:12Z-
dc.date.issued2012-09-01en_US
dc.identifier.issn0001-4575en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.aap.2012.03.012en_US
dc.identifier.urihttp://hdl.handle.net/11536/150474-
dc.description.abstractThis study developed a scale to measure 502 Taiwan traffic police officers' perceived ability to detect, detain, and intercept those vehicles whose drivers are driving while intoxicated (DWI) when conducting sobriety checkpoints. Through factor analysis, the officers' enforcement ability was found to consist of two component latent traits: detecting ability (DA) and detaining and intercepting ability (DIA). A multidimensional approach of Rasch models was then applied to measure the police officers' perceived abilities and particular difficulties in conducting sobriety checkpoints. The study results indicated that the majority of police officers performed well in detecting DWI vehicles, but half of the study participants lacked confidence in detaining DWI vehicles and intercepting escaping DWI vehicles. DWI with weaving was found to be the most aggressive and threatening behavior to traffic police when conducting sobriety checkpoints. Police officers over age 46 were found to have significantly lower DA and DIA, while branch captains were found to have significantly higher DA than their colleagues. Several strategies and programs are suggested based on the study findings to improve the enforcement ability of police officers. (C) 2012 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectSobriety checkpointsen_US
dc.subjectDriving while intoxicated (DWI)en_US
dc.subjectAbilityen_US
dc.subjectMultidimensional approachen_US
dc.subjectRasch modelen_US
dc.titleUsing a multidimensional Rasch model approach to measure the police's perceived ability to detect, detain and intercept DWI vehicles when conducting sobriety checkpointsen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.aap.2012.03.012en_US
dc.identifier.journalACCIDENT ANALYSIS AND PREVENTIONen_US
dc.citation.volume48en_US
dc.citation.spage505en_US
dc.citation.epage517en_US
dc.contributor.department運輸與物流管理系 註:原交通所+運管所zh_TW
dc.contributor.departmentDepartment of Transportation and Logistics Managementen_US
dc.identifier.wosnumberWOS:000307140500057en_US
dc.citation.woscount2en_US
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