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Human trafficking interdiction with decision dependent success

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  • Tezcan, Barış
  • Maass, Kayse Lee

Abstract

This paper presents a bi-level network interdiction model to increase the effectiveness of attempting to disrupt a human trafficking network under a resource constrained environment. To model the behavior of the trafficker, we present a new interpretation of the traditional maximum flow network problem in which the arc capacity parameter serves as a proxy for the trafficker’s desirability to travel along segments of the network. The objective for the anti-human trafficking stakeholder is to invest resources in detection and intervention efforts throughout the network in a manner that minimizes the trafficker’s expected maximum desirability of operating on the network. Interdictions are binary, and their effects are stochastic (i.e., there is a positive probability that a disruption attempt is unsuccessful). We present a multi-stage version of the model, which incorporates the effect of interdictions becoming more or less successful over time. Using a genetic algorithm that uses a pseudo-utility ratio for the repair operation, we solve multiple problem instances for a case study of the road network in the Eastern Development Region of Nepal and multiple grid networks. We then discuss observations regarding the impact of probabilistic interdiction success and the implications it has for optimal policies to disrupt a human trafficking network with limited resources.

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  • Tezcan, Barış & Maass, Kayse Lee, 2023. "Human trafficking interdiction with decision dependent success," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    • Handle: RePEc:eee:soceps:v:87:y:2023:i:pa:s0038012123000149
    DOI: 10.1016/j.seps.2023.101521
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    References listed on IDEAS

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    1. Nail Orkun Baycik & Thomas C. Sharkey & Chase E. Rainwater, 2018. "Interdicting layered physical and information flow networks," IISE Transactions, Taylor & Francis Journals, vol. 50(4), pages 316-331, April.
    2. Bhuiyan, Tanveer Hossain & Medal, Hugh R. & Harun, Sarah, 2020. "A stochastic programming model with endogenous and exogenous uncertainty for reliable network design under random disruption," European Journal of Operational Research, Elsevier, vol. 285(2), pages 670-694.
    3. Danailova-Trainor, Gergana. & Belser, Patrick., 2006. "Globalization and the illicit market for human trafficking : an empirical analysis of supply and demand," ILO Working Papers 993953733402676, International Labour Organization.
    4. repec:ilo:ilowps:395339 is not listed on IDEAS
    5. repec:ilo:ilowps:395373 is not listed on IDEAS
    6. Ajay Malaviya & Chase Rainwater & Thomas Sharkey, 2012. "Multi-period network interdiction problems with applications to city-level drug enforcement," IISE Transactions, Taylor & Francis Journals, vol. 44(5), pages 368-380.
    7. Fischetti, Matteo & Monaci, Michele & Sinnl, Markus, 2018. "A dynamic reformulation heuristic for Generalized Interdiction Problems," European Journal of Operational Research, Elsevier, vol. 267(1), pages 40-51.
    8. Alper Atamtürk & Carlos Deck & Hyemin Jeon, 2020. "Successive Quadratic Upper-Bounding for Discrete Mean-Risk Minimization and Network Interdiction," INFORMS Journal on Computing, INFORMS, vol. 32(2), pages 346-355, April.
    9. O’Hanley, Jesse R. & Scaparra, M. Paola & García, Sergio, 2013. "Probability chains: A general linearization technique for modeling reliability in facility location and related problems," European Journal of Operational Research, Elsevier, vol. 230(1), pages 63-75.
    10. 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.
    11. Nedialko Dimitrov & Dennis Michalopoulos & David Morton & Michael Nehme & Feng Pan & Elmira Popova & Erich Schneider & Gregory Thoreson, 2011. "Network deployment of radiation detectors with physics-based detection probability calculations," Annals of Operations Research, Springer, vol. 187(1), pages 207-228, July.
    12. Zhang, Jing & Zhuang, Jun & Behlendorf, Brandon, 2018. "Stochastic shortest path network interdiction with a case study of Arizona–Mexico border," Reliability Engineering and System Safety, Elsevier, vol. 179(C), pages 62-73.
    13. Kelly J. Cormican & David P. Morton & R. Kevin Wood, 1998. "Stochastic Network Interdiction," Operations Research, INFORMS, vol. 46(2), pages 184-197, April.
    14. Hernandez, Diego & Rudolph, Alexandra, 2015. "Modern day slavery: What drives human trafficking in Europe?," European Journal of Political Economy, Elsevier, vol. 38(C), pages 118-139.
    15. Ronald Weitzer, 2014. "New Directions in Research on Human Trafficking," The ANNALS of the American Academy of Political and Social Science, , vol. 653(1), pages 6-24, May.
    16. Ketkov, Sergey S. & Prokopyev, Oleg A., 2020. "On greedy and strategic evaders in sequential interdiction settings with incomplete information," Omega, Elsevier, vol. 92(C).
    17. Juan S. Borrero & Oleg A. Prokopyev & Denis Sauré, 2016. "Sequential Shortest Path Interdiction with Incomplete Information," Decision Analysis, INFORMS, vol. 13(1), pages 68-98, March.
    18. Ramirez-Marquez, José Emmanuel & Rocco S., Claudio M., 2009. "Stochastic network interdiction optimization via capacitated network reliability modeling and probabilistic solution discovery," Reliability Engineering and System Safety, Elsevier, vol. 94(5), pages 913-921.
    19. Hugh R. Medal & Edward A. Pohl & Manuel D. Rossetti, 2016. "Allocating Protection Resources to Facilities When the Effect of Protection is Uncertain," IISE Transactions, Taylor & Francis Journals, vol. 48(3), pages 220-234, March.
    20. Danailova-Trainor, Gergana. & Belser, Patrick., 2006. "Globalization and the illicit market for human trafficking : an empirical analysis of supply and demand," ILO Working Papers 993953393402676, International Labour Organization.
    21. Dennis P. Michalopoulos & David P. Morton & J. Wesley Barnes, 2013. "Prioritizing Network Interdiction of Nuclear Smuggling," World Scientific Book Chapters, in: Horand I Gassmann & William T Ziemba (ed.), Stochastic Programming Applications in Finance, Energy, Planning and Logistics, chapter 12, pages 313-346, World Scientific Publishing Co. Pte. Ltd..
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