Optimizing placement of residential shelters for human trafficking survivors

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

doi:10.1016/j.seps.2019.100730

Cited by 16 publications

(15 citation statements)

References 44 publications

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“…Maass et al. (2019) presents a case regarding locating dedicated shelters for trafficking survivors at a regional level. In addition to the optimized shelter locations, they measure 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.…”

Section: Literature Reviewmentioning

confidence: 99%

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Cracking Sex Trafficking: Data Analysis, Pattern Recognition, and Path Prediction

Keskin

Bott

Freeman

2021

Production and Operations Management

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Human trafficking, the exploitation of humans for monetary gain or benefit, is a widespread humanitarian issue that is typically sub‐classified into labor and sex trafficking. In the last decade, sex traffickers have used online classified advertisements to advertise sexual services. Although these advertisements are visible to the general public and law enforcement, the volume of ads, the frequency with which their posting locale changes, and the use of obfuscation tactics make it difficult for law enforcement agencies to react. Existing products for law enforcement focus on identifying, tracking, and correlating individual activity by performing deep searches for specific information against a database of historical posts. While this deep search capability is useful for investigating specific cases, it overlooks higher‐level patterns that exist in ads. Using a website that has been linked to several sex trafficking‐related arrests, we demonstrate a framework for harvesting, linking, and detecting these patterns in a dataset comprised of more than 10 million advertisements targeting US cities. Our framework combines information systems and operations research concepts to identify groups of posts based on text, phone numbers, and pictures; determine circuits associated with post groups, and predict future movements using four different methods. Our description of the framework and comparison of the grouping and prediction methods provide insights that can assist law enforcement agencies to combat individuals/organizations involved in illicit sexual activities, including sex trafficking, proactively. Also, this demonstration provides researchers interested in developing advanced interdiction models targeting illicit sexual activities with a clear picture regarding available data formats.

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Section: Literature Reviewmentioning

confidence: 99%

“…Although both Maass et al. (2019) and Konrad (2019) study interventions related to human trafficking, they are more focused on prevention and recovery rather than disrupting STNs. In fact, Smith and Song (2019) mention the illicit supply chain network disruption as a new application area.…”

Section: Literature Reviewmentioning

confidence: 99%

Cracking Sex Trafficking: Data Analysis, Pattern Recognition, and Path Prediction

Keskin

Bott

Freeman

2021

Production and Operations Management

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“…A second body of OR literature focuses on detection of hidden HT victims (Keskin et al, 2021;Kapoor et al, 2017;Mensikova and Mattmann, 2017), movement patterns of covert traffickers (McDonald et al, 2021;Yao et al, 2021;Amin, 2010) and long-term intervention approaches to prevent trafficking or retrafficking by increasing the efficiency and effectiveness of public services (Amadasun, 2020), as well as improving access to supportive and rehabilitative services (Azizi et al, 2018). However, little attention has been paid to using OR techniques to examine the problem of allocating scarce resources for anti-trafficking efforts, with the exceptions of Konrad (2019) and Maass et al (2020).…”

Section: Or Human Trafficking and Homelessnessmentioning

confidence: 99%

“…To increase trafficking awareness among at-risk populations, Konrad (2019) proposes a resource allocation model for trafficking prevention programs in Nepal, aiding decision makers in evaluating how to allocate limited funds in the context of trafficking awareness. To improve stabilization and the eventual reintegration of trafficked persons, Maass et al (2020) present an optimization model that allocates a budget for locating residential shelters in a manner that maximizes a measure of societal impact. The model evaluates the trade-off in the cost of opening and operating shelters in each location with the health benefits, labor productivity gained, and reduction in criminal justice costs.…”

Section: Or Human Trafficking and Homelessnessmentioning

confidence: 99%

Improving Access to Housing and Supportive Services for Runaway and Homeless Youth: Reducing Vulnerability to Human Trafficking in New York City

Kaya¹,

Maass²,

Dimas³

et al. 2022

Preprint

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Recent estimates indicate that there are over 1 million runaway and homeless youth and young adults (RHY) in the United States (US). Exposure to trauma, violence, and substance abuse, coupled with a lack of community support services, puts homeless youth at high risk of being exploited and trafficked. Although access to safe housing and supportive services such as physical and mental healthcare is an effective response to youth's vulnerability towards being trafficked, the number of youth experiencing homelessness exceeds the capacity of available housing resources in most US communities. We undertake an informed, systematic, and datadriven approach to project the collective capacity required by service providers to adequately meet the needs of homeless youth in New York City, including those most at risk of being trafficked. Our approach involves an integer linear programming model that extends the multiple multidimensional knapsack problem and is informed by partnerships with key stakeholders. The mathematical model allows for time-dependent allocation and capacity expansion, while incorporating stochastic youth arrivals and length of stays, services provided in periodic fashion and service delivery time windows. Our RHY and service provider-centered approach is an important step toward meeting the actual, rather than presumed, survival needs of vulnerable youth, particularly those at-risk of being trafficked.

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“…In developing countries, existing sites and housing programs reflect a significant breakthrough in shelter policies, which are mostly funded by local or foreign assistance organizations [7,8]. The aim of such projects by the government and the assistance organizations is to provide standard shelter facilities, depending on the capacity and willingness to pay off the expected recipients [9,10]. The key concern of these initiatives is to provide low-income families with accommodation and quality services utilizing low to no subsidies [11,12].…”

Section: Introductionmentioning

confidence: 99%

Materializing Low-Cost Energy-Efficient Residential Utility through Effective Space Design and Masonry Technique - A Practical Approach

Bukhari¹,

Alaloul²,

Musarat³

et al. 2021

cea

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The swiftly mounting world energy consumption has sparked questions regarding supply constraints, the collapse of energy resources, and dense environmental effects. Although the construction industry has much developed, yet construction is still a difficult, and costly process. Consequently, there is a necessity to find additional energy-efficient and cost-saving substitutes to sustain the urbanization of houses at a reasonable price to low-income groups. This study aims to provide an energy-efficient proposal for a housing scheme with strict control over cost allowing the low-income groups to enjoy livability stemming from the thermally comfortable and cost-saving technology. For this purpose, visits and surveys were carried out to critically analyze the respective housing scheme. Two proposals were suggested i.e. Proposal A by applying a low-cost technique called a Rat-trap bond to the walls and Proposal B, by designing an architectural plan for proficient utilization of space along with Rat-trap bond. Proposal B is highly recommended for construction as it saves 799 units of electricity and is 28% cost-effective during the construction phase than the existing housing unit. Summarized results were prepared from cost analysis and Ecotect analysis which ascertains the proposal to be energy efficient in addition to low cost. It is recommended to invest in cost-effective and energy-efficient technologies at the governmental level so that the challenge of inadequate housing can be answered once and for all.

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Optimizing placement of residential shelters for human trafficking survivors

Cited by 16 publications

References 44 publications

Cracking Sex Trafficking: Data Analysis, Pattern Recognition, and Path Prediction

Cracking Sex Trafficking: Data Analysis, Pattern Recognition, and Path Prediction

Improving Access to Housing and Supportive Services for Runaway and Homeless Youth: Reducing Vulnerability to Human Trafficking in New York City

Materializing Low-Cost Energy-Efficient Residential Utility through Effective Space Design and Masonry Technique - A Practical Approach

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