000			01678naa a2200193uu 4500
001			9110915395437
003			OSt
005			20190211165813.0
008			091109s2009 xx ||||gr |0|| 0 eng d
100	1		_aDUNN, Ronnie A. _938228
245	1	0	_aMeasuring racial disparities in traffic ticketing within large urban jurisdictions
260			_aArmonk, NY : _bM.E. Sharpe, _cJune 2009
520	3		_aAs racial profiling has emerged as one of the most contentious and persistent issues confronting law enforcement and public officials across the nation in the last 20 years, research in this area has evolved rapidly. Although an increasing number of studies have been conducted on racial profiling in traffic enforcement, scholars have not reached a consensus on how best to estimate the driving population to compare with racial traffic ticketing data from a jurisdiction. This study combines traffic flow data for the city of Cleveland with residential census data to estimate the city's driving population. This provides a more precise estimate of the driving population than estimates obtained from traffic flow and census data used separately, as in earlier studies. This study finds that although blacks are a majority of city residents, they are not the majority of the driving population, yet are more likely to be ticketed than whites.
590			_apolicing, public safety, racial profiling, social equity, traffic enforcement
773	0	8	_tPublic Performance & Management Review _g32, 4, p. 537-561 _dArmonk, NY : M.E. Sharpe, June 2009 _xISSN 15309576 _w
942			_cS
998			_a20091109 _b1539^b _cDaiane
998			_a20091111 _b0924^b _cCarolina
999			_aConvertido do Formato PHL _bPHL2MARC21 1.1 _c30730 _d30730
041			_aeng