A Network Flow Model of the Complex Illicit Trafficking Network Operating in the El Paso-Juarez Area

Authors

  • Armando Pena United States Military Academy
  • Elizabeth Schott Department of Systems Engineering United States Military Academy West Point, New York, 10996, USA

DOI:

https://doi.org/10.37266/ISER.2014v2i1.pp15-35

Abstract

In 2013, El Paso, TX, was selected for the third time in a row by the Congressional Quarterly Press as the number one safest city with a population over 500,000 people (Borunda, 2013).  Just across its border though, sits Ciudad Juarez, considered one of the most dangerous cities in the world. There is a unique social ecosystem between the two cities, a product of many years of shared history and traditions. The El Paso-Juarez area also happens to be one of the most valuable plazas for the Mexican Drug Cartels. According to BBC Mundo, the Sinaloa Cartel has won the El Paso-Juarez territory over the Juarez Cartel and the Zetas (Najar, 2012). Consequently, now that the territory is dominated by one cartel, drug trafficking through the area will likely increase and smuggling through border crossing check points will continue to be more prevalent. The purpose of this research effort is to assist the Border Patrol in allocating its resources towards improved interdiction of illicit trafficking. Whether it is manpower, money, technology, or any other resource, the Border Patrol desires to efficiently allocate to maximize interdiction. This analysis is intended to suggest a tool that will assist in allocating resources and aid the extremely important effort to maintain El Paso, TX, as the safest city in the U.S. by keeping drugs away from the streets. This research presents a network flow model of the complex illicit trafficking network operating in the El Paso-Juarez area, and provides insight that will aid such agencies as the Border Patrol in allocating its resources.

Author Biographies

Armando Pena, United States Military Academy

2LT, US Army.  Honors Gradute of the Systems Engineering Department, United States Military Academy

Elizabeth Schott, Department of Systems Engineering United States Military Academy West Point, New York, 10996, USA

Academy Professor, Department of Systems Engineering

References

Borunda, D. (2013, Feb 6). El Paso ranked safest large city in U.S. for 3rd straight year. Retrieved from elpasotimes.com: http://www.elpasotimes.com/ci_22523903/el-paso-ranked-safest-large-city-u-s

CBP . (2013). About. Retrieved from U.S. Customs and Border Protection: http://www.cbp.gov/xp/cgov/about/

CBP. (2013). Overview. Retrieved from U.S. Customs and Boarder Protection: http://www.cbp.gov/xp/cgov/about/mission/

Chinneck, J. W. (2001). Chapter 10: Network Flow Programming.”. Retrieved from Carleton University Faculty: http://www.sce.carleton.ca/faculty/chinneck/po/Chapter10.pdf

Herrera-Flanigan, J., Gee, T., Twinchek, M., & O'Connor, R. (2008, January 3). Ensuring Homeland Security while Facilitating Legitimate Travel: The Challenge at America’s Ports of Entr. Retrieved from Committee on Homeland Security House of Representatives One Hundred Tenth Congress Second Sessio: http://www.gpo.gov/fdsys/

High Intensity Drug Trafficing Area Program. (2009, March). Drug Market Analysis 2009. Retrieved from West Texas High Intensity Drug Trafficing Area: http://www.justice.gov/archive/ndic//pubs32/32792/32792p.pdf

Hinojosa, A. (2010, June 26). Narco Tunnel Found in El Paso: Drug Route Runs 130 Feet under Rio Grande. El Paso Times.

IBM. (2013). CPLEX Optimizer. Retrieved from IBM: http://www-01.ibm.com/software/commerce/optimization/cplex-optimizer/

Lewis, T. (2009). Network Science: Theory and Practice. New Jersey: John Wiley & Sons, Inc.

Manning, P. (2013, February 7). El Paso: FBI stats Deem Border City Safest in the Country 3 years in a Row. Retrieved from Fox News Latino: http://latino.foxnews.com/latino/news/2013/02/07/el-paso-fbi-stats-deem-border-city-safest-in-country-3-years-in-row/

Marosi, R. (2011, May 19). Ultralight Aircraft Now Ferrying drugs across U.S.-Mexico border. Los Angeles Times.

Najar, A. (2012, October 10). El Nuevo Mapa del Narcotrafico en Mexico. Retrieved from BBC Mundo, Ciudad de Mexico: http://www.bbc.co.uk/mundo/noticias/2012/10/121010_mexico_mapa_guerra_narco_carteles_jp.shtml

National Center for Technology Innovation. (2013). Case Study. Retrieved from National Center for Technology Innovation: http://www.nationaltechcenter.org/index.php/products/at-research-matters/case-study/

Office of National Drug Control Policy. (2012). 2012 National Drug Control Strategy. Retrieved from The White House President Barrack Obama: http://www.whitehouse.gov/ondcp/2012-national-drug-control-strategy

Rice, A. (2011, July 28). Life on the Line. Retrieved from New York Times: http://www.nytimes.com/2011/07/31/magazine/life-on-the-line-between-el-paso-and-juarez.html/?pagewanted=all&_r=0

U.S. Customs Service and Border Protection. (2012, November). Northbound Border Crossings: From Juarez to El Paso Totals by Bridge by Month for 2011. Retrieved from El Paso Metropolitan Planning Organization: http://www.elpasompo.org/POE/BorderCrossing2011.pdf

United Nations Office on Drugs and Crime. (2011). World Drug Report 2011. New York.

Washington Office of Latin America. (2011, December 20). An Uneasy Coexistence: Security and Migration Along the El Paso-Ciudad Juarez Borde. Retrieved from WOLA: Officina de los Derechos Humanos, la Democracia y la Justicia Socia: http://www.wola.org/es/node/2894

Washington Office of Latin America. (2011, December 20). An Uneasy Coexistence: Security and Migration Along the El Paso-Ciudad Juarez Border. Retrieved from WOLA: Officina de los Derechos Humanos, la Democracia y la Justicia Social: http://www.wola.org/es/node/2894

Published

2014-07-08

How to Cite

Pena, A., & Schott, E. (2014). A Network Flow Model of the Complex Illicit Trafficking Network Operating in the El Paso-Juarez Area. Industrial and Systems Engineering Review, 2(1), 15-35. https://doi.org/10.37266/ISER.2014v2i1.pp15-35