Community corrections centers (CCCs) are known to be an effective criminal justice strategy. However, location of CCCs is challenging: residents of potential destination communities often regard them as "undesirable" land uses. This paper develops a methodology by which a small set of feasible CCC locations may be identified from a larger initial set using data on neighborhood characteristics and currently operating CCCs. This methodology is based on a multi-stakeholder deliberative process and spatial analysis. Results from this process may be used as inputs to models that identify CCC sites that optimize various policy criteria. A portion of this methodology is applied to data from Pittsburgh, PA and demonstrate that the process is reasonable in terms of data requirements, stakeholder preference elicitation and outcomes generation. Preliminary results indicate a set of potential CCC sites are selected that is more diverse than that which might be identified using real estate or community corrections expertise alone.
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