Sex offenders and residential location: A predictive-analytical framework

Elizabeth A. Mack, Tony H. Grubesic

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


Despite the growing body of research examining the collateral consequences of legislation governing sex offenders, a complete understanding of their residential choices post release remains elusive. This paper develops a predictive-analytical framework that helps determine which demo-graphic and socioeconomic factors best forecast the residential choices of convicted sex offenders. Specifically, a derived index of social disorganization (ISDOR) is implemented in both statistical and nonlinear data mining approaches to predict the presence of sex offenders in a community. The results of the analysis are encouraging, predicting nearly 75% of registered offender locations correctly. The utility of this framework as a tool for public policy and law enforcement is discussed.

Original languageEnglish (US)
Pages (from-to)1925-1942
Number of pages18
JournalEnvironment and Planning A
Issue number8
StatePublished - Oct 8 2010

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Environmental Science (miscellaneous)


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