Improving Access to Housing and Supportive Services for Runaway and Homeless Youth: Reducing Vulnerability to Human Trafficking in New York City
Yaren Bilge Kaya, Kayse Lee Maass, Geri L. Dimas, Renata Konrad,, Andrew C. Trapp, Meredith Dank

TL;DR
This paper presents a data-driven, mathematical model to optimize housing and support services for homeless youth in New York City, aiming to reduce their vulnerability to human trafficking.
Contribution
It introduces a novel integer linear programming model that accounts for time-dependent needs and stochastic factors to improve service capacity planning for at-risk youth.
Findings
Model effectively allocates resources to meet youth needs
Supports capacity expansion and time-sensitive service delivery
Enhances understanding of service requirements for vulnerable youth
Abstract
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 youths vulnerability towards being trafficked, the number of youth experiencing homelessness exceeds the capacity of available housing resources in most US communities. We undertake a RHY-informed, systematic, and data driven 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…
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Taxonomy
TopicsHomelessness and Social Issues · Urban, Neighborhood, and Segregation Studies · Housing, Finance, and Neoliberalism
