Optimization Models for Policy Evaluation of Sex Offender Laws
Authors
Presentation Information
Optimization Models for Policy Evaluation of Sex Offender Laws
INFORMS Annual Meeting 2008, Washington, DC
Tony Grubesic, Indiana University, Department of Geography, 701 E Kirkwood Ave, Bloomington IN 47405, United States of America, tgrubesi@indiana.edu
Alan Murray, Arizona State University, School of Geographical Sciences, Tempe AZ 85287, United States of America, atmurray@asu.edu
Effective management of convicted sex offenders is a challenging
problem. Recent legislation uses geographic constraints to limit the
residential options of convicted sex offenders. Critics suggest that
communities with less rigorous ordinances absorb a disproportionately
high number of offenders, putting sensitive populations at risk. This
paper uses spatial optimization to evaluate spatial risk and the
geographic distribution of sex offenders within a community in relation
to public policy.