Evolving Optimum Classification Policies in the Implementation of Truth-in-Sentencing: A Dynamic Model to Predict Bed-Type Mix. Final Report

摘要

This partnership examined various dynamic factors, which affect the level and type of security beds required by a prison system. After an inmate's initial classification at intake, his/her re-classification outcome is a function of time, sentence (or time to serve), classification policy/practice, and his/her behavior. The effect of these factors on an individual inmate are analyzed to determine their dynamic interactions and impact on individual inmate location assignment, and accordingly the corresponding aggregate demand for bedspace of various security levels.