IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v70y2020ics0038012119301132.html
   My bibliography  Save this article

Optimizing placement of residential shelters for human trafficking survivors

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012119301132
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.seps.2019.100730?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Khayal, Danya & Pradhananga, Rojee & Pokharel, Shaligram & Mutlu, Fatih, 2015. "A model for planning locations of temporary distribution facilities for emergency response," Socio-Economic Planning Sciences, Elsevier, vol. 52(C), pages 22-30.
    2. Akgün, İbrahim & Gümüşbuğa, Ferhat & Tansel, Barbaros, 2015. "Risk based facility location by using fault tree analysis in disaster management," Omega, Elsevier, vol. 52(C), pages 168-179.
    3. Mete, Huseyin Onur & Zabinsky, Zelda B., 2010. "Stochastic optimization of medical supply location and distribution in disaster management," International Journal of Production Economics, Elsevier, vol. 126(1), pages 76-84, July.
    4. Murali, Pavankumar & Ordóñez, Fernando & Dessouky, Maged M., 2012. "Facility location under demand uncertainty: Response to a large-scale bio-terror attack," Socio-Economic Planning Sciences, Elsevier, vol. 46(1), pages 78-87.
    5. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    6. Rawls, Carmen G. & Turnquist, Mark A., 2012. "Pre-positioning and dynamic delivery planning for short-term response following a natural disaster," Socio-Economic Planning Sciences, Elsevier, vol. 46(1), pages 46-54.
    7. Erica Gralla & Jarrod Goentzel & Charles Fine, 2016. "Problem Formulation and Solution Mechanisms: A Behavioral Study of Humanitarian Transportation Planning," Production and Operations Management, Production and Operations Management Society, vol. 25(1), pages 22-35, January.
    8. Erica Gralla & Jarrod Goentzel & Charles Fine, 2014. "Assessing Trade-offs among Multiple Objectives for Humanitarian Aid Delivery Using Expert Preferences," Production and Operations Management, Production and Operations Management Society, vol. 23(6), pages 978-989, June.
    9. Serhan Duran & Marco A. Gutierrez & Pinar Keskinocak, 2011. "Pre-Positioning of Emergency Items for CARE International," Interfaces, INFORMS, vol. 41(3), pages 223-237, June.
    10. He, Fei & Zhuang, Jun, 2016. "Balancing pre-disaster preparedness and post-disaster relief," European Journal of Operational Research, Elsevier, vol. 252(1), pages 246-256.
    11. Jamie Dekle & Mariel S. Lavieri & Erica Martin & Hülya Emir-Farinas & Richard L. Francis, 2005. "A Florida County Locates Disaster Recovery Centers," Interfaces, INFORMS, vol. 35(2), pages 133-139, April.
    12. Sheu, Jiuh-Biing, 2007. "An emergency logistics distribution approach for quick response to urgent relief demand in disasters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(6), pages 687-709, November.
    13. Yi, Wei & Ozdamar, Linet, 2007. "A dynamic logistics coordination model for evacuation and support in disaster response activities," European Journal of Operational Research, Elsevier, vol. 179(3), pages 1177-1193, June.
    14. Chang, Mei-Shiang & Tseng, Ya-Ling & Chen, Jing-Wen, 2007. "A scenario planning approach for the flood emergency logistics preparation problem under uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(6), pages 737-754, November.
    15. Martin, Lauren & Lotspeich, Richard, 2014. "A benefit-cost framework for early intervention to prevent sex trading," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 5(1), pages 43-87, January.
    16. Hossain, M. & Zimmerman, C. & Abas, M. & Light, M. & Watts, C., 2010. "The relationship of trauma to mental disorders among trafficked and sexually exploited girls and women," American Journal of Public Health, American Public Health Association, vol. 100(12), pages 2442-2449.
    17. Caunhye, Aakil M. & Nie, Xiaofeng & Pokharel, Shaligram, 2012. "Optimization models in emergency logistics: A literature review," Socio-Economic Planning Sciences, Elsevier, vol. 46(1), pages 4-13.
    18. Margaret Brandeau & Gregory Zaric, 2009. "Optimal investment in HIV prevention programs: more is not always better," Health Care Management Science, Springer, vol. 12(1), pages 27-37, March.
    19. Konrad, Renata A. & Trapp, Andrew C. & Palmbach, Timothy M. & Blom, Jeffrey S., 2017. "Overcoming human trafficking via operations research and analytics: Opportunities for methods, models, and applications," European Journal of Operational Research, Elsevier, vol. 259(2), pages 733-745.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Renata Turkeš & Daniel Palhazi Cuervo & Kenneth Sörensen, 2019. "Pre-positioning of emergency supplies: does putting a price on human life help to save lives?," Annals of Operations Research, Springer, vol. 283(1), pages 865-895, December.
    2. Abhishek Behl & Pankaj Dutta, 2019. "Humanitarian supply chain management: a thematic literature review and future directions of research," Annals of Operations Research, Springer, vol. 283(1), pages 1001-1044, December.
    3. Dönmez, Zehranaz & Kara, Bahar Y. & Karsu, Özlem & Saldanha-da-Gama, Francisco, 2021. "Humanitarian facility location under uncertainty: Critical review and future prospects," Omega, Elsevier, vol. 102(C).
    4. A. Anaya-Arenas & J. Renaud & A. Ruiz, 2014. "Relief distribution networks: a systematic review," Annals of Operations Research, Springer, vol. 223(1), pages 53-79, December.
    5. Rodríguez-Espíndola, Oscar & Ahmadi, Hossein & Gastélum-Chavira, Diego & Ahumada-Valenzuela, Omar & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Albores, Pavel, 2023. "Humanitarian logistics optimization models: An investigation of decision-maker involvement and directions to promote implementation," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    6. Sabbaghtorkan, Monir & Batta, Rajan & He, Qing, 2020. "Prepositioning of assets and supplies in disaster operations management: Review and research gap identification," European Journal of Operational Research, Elsevier, vol. 284(1), pages 1-19.
    7. Oscar Rodríguez-Espíndola & Juan Gaytán, 2015. "Scenario-based preparedness plan for floods," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(2), pages 1241-1262, March.
    8. Loree, Nick & Aros-Vera, Felipe, 2018. "Points of distribution location and inventory management model for Post-Disaster Humanitarian Logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 1-24.
    9. Rezaei-Malek, Mohammad & Tavakkoli-Moghaddam, Reza & Cheikhrouhou, Naoufel & Taheri-Moghaddam, Alireza, 2016. "An approximation approach to a trade-off among efficiency, efficacy, and balance for relief pre-positioning in disaster management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 485-509.
    10. Özdamar, Linet & Ertem, Mustafa Alp, 2015. "Models, solutions and enabling technologies in humanitarian logistics," European Journal of Operational Research, Elsevier, vol. 244(1), pages 55-65.
    11. German A. Velasquez & Maria E. Mayorga & Eduardo A. R. Cruz, 2019. "Prepositioning inventory for disasters: a robust and equitable model," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(3), pages 757-785, September.
    12. Rodolfo Modrigais Strauss Nunes & Susana Carla Farias Pereira, 2022. "Intellectual structure and trends in the humanitarian operations field," Annals of Operations Research, Springer, vol. 319(1), pages 1099-1157, December.
    13. Souza, Juliano Silva & Lim-Apo, Flávio Araújo & Varella, Leonardo & Coelho, Antônio Sérgio & Souza, João Carlos, 2022. "Multi-period optimization model for planning people allocation in shelters and distributing aid with special constraints," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    14. Lu, Chung-Cheng & Ying, Kuo-Ching & Chen, Hui-Ju, 2016. "Real-time relief distribution in the aftermath of disasters – A rolling horizon approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 1-20.
    15. Wilson, Duncan T. & Hawe, Glenn I. & Coates, Graham & Crouch, Roger S., 2013. "A multi-objective combinatorial model of casualty processing in major incident response," European Journal of Operational Research, Elsevier, vol. 230(3), pages 643-655.
    16. Kılcı, Fırat & Kara, Bahar Yetiş & Bozkaya, Burçin, 2015. "Locating temporary shelter areas after an earthquake: A case for Turkey," European Journal of Operational Research, Elsevier, vol. 243(1), pages 323-332.
    17. Alem, Douglas & Clark, Alistair & Moreno, Alfredo, 2016. "Stochastic network models for logistics planning in disaster relief," European Journal of Operational Research, Elsevier, vol. 255(1), pages 187-206.
    18. Qi, Mingyao & Yang, Ying & Cheng, Chun, 2023. "Location and inventory pre-positioning problem under uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    19. Nihal Berktaş & Bahar Yetiş Kara & Oya Ekin Karaşan, 2016. "Solution methodologies for debris removal in disaster response," EURO Journal on Computational Optimization, Springer;EURO - The Association of European Operational Research Societies, vol. 4(3), pages 403-445, September.
    20. Zhongzhen Yang & Liquan Guo & Zaili Yang, 2019. "Emergency logistics for wildfire suppression based on forecasted disaster evolution," Annals of Operations Research, Springer, vol. 283(1), pages 917-937, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:soceps:v:70:y:2020:i:c:s0038012119301132. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/seps .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.