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Optimizing placement of residential shelters for human trafficking survivors

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  • Maass, Kayse Lee
  • Trapp, Andrew C.
  • Konrad, Renata

Abstract

Residential shelters play a critical role in the stabilization and eventual reintegration to society for trafficked persons and entail a large investment. In the United States, survivors of human trafficking live in every state. However, in 2018 a majority of states lack dedicated residential shelters for trafficking survivors. Even in states with shelters, data suggests that demand greatly exceeds capacity, and significant disparity exists between states with respect to the legislative environment and provision of auxiliary services for survivors. We present an optimization approach to evaluate the societal impact of locating dedicated shelters for trafficking survivors at a regional level. Using concepts from health and social welfare economics, we develop an optimization model that allocates a budget for locating residential shelters in a manner that maximizes a measure of societal impact while respecting budgetary constraints. For our case study, we measure this impact via a societal value quantified by a combination of labor productivity gained, reduction in juvenile arrests, disability-adjusted life years averted, and legislative environment, adjusted for the demand for shelters and the current number of shelters available, less construction and operating costs. We illustrate the utility of the model via our case study that allocates a budget among a candidate set of residential shelters for female sex trafficking survivors in the United States. Via sensitivity analyses on a robust set of uncertain parameters, we present policy implications of shelter placements to support this critical societal concern.

Suggested Citation

  • Maass, Kayse Lee & Trapp, Andrew C. & Konrad, Renata, 2020. "Optimizing placement of residential shelters for human trafficking survivors," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    • Handle: RePEc:eee:soceps:v:70:y:2020:i:c:s0038012119301132
    DOI: 10.1016/j.seps.2019.100730
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    Cited by:

    1. Konrad, Renata A. & Maass, Kayse Lee & Dimas, Geri L. & Trapp, Andrew C., 2023. "Perspectives on how to conduct responsible anti-human trafficking research in operations and analytics," European Journal of Operational Research, Elsevier, vol. 309(1), pages 319-329.
    2. Keskin, Burcu B. & Griffin, Emily C. & Prell, Jonathan O. & Dilkina, Bistra & Ferber, Aaron & MacDonald, John & Hilend, Rowan & Griffis, Stanley & Gore, Meredith L., 2023. "Quantitative Investigation of Wildlife Trafficking Supply Chains: A Review," Omega, Elsevier, vol. 115(C).
    3. Xiaodan Xie & Felipe Aros‐Vera, 2022. "An interdependent network interdiction model for disrupting sex trafficking networks," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2695-2713, June.

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