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Tradeoffs between equity and efficiency in Coordinated Entry of homeless housing systems

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  • Singham, Dashi I.
  • McDonald, Mary
  • Elliot, Robert

Abstract

Coordinated Entry is designed to provide a single access point for people experiencing homelessness to enter a Continuum of Care. Some regions, including the County of San Francisco, offer a scoring assessment to potential program participants to determine their relative need for housing. This score is then used to route participants to the appropriate housing resource. The goal is to achieve equity in assigning the most intensive resources to the most vulnerable people, while balancing efficiency in quickly housing as many people as possible. We create a queueing simulation model to directly compare policies that attempt to balance tradeoffs between equity and efficiency. In particular, we model scoring threshold policies for routing participants, as well as jockeying policies for reallocating participants as additional housing inventory becomes available. Finally, we apply an extensive experimental design to rigorously compare the policies while incorporating wide-ranging input uncertainty. This produces recommendations on how effective routing policies can be designed under changing conditions, with applications to healthcare and other tiered service systems.

Suggested Citation

  • Singham, Dashi I. & McDonald, Mary & Elliot, Robert, 2025. "Tradeoffs between equity and efficiency in Coordinated Entry of homeless housing systems," Socio-Economic Planning Sciences, Elsevier, vol. 99(C).
  • Handle: RePEc:eee:soceps:v:99:y:2025:i:c:s0038012125000618
    DOI: 10.1016/j.seps.2025.102212
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    References listed on IDEAS

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    1. Dai, Li & Zhou, Peng, 2020. "The health issues of the homeless and the homeless issues of the ill-health," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    2. Dashi I Singham & Jennifer Lucky & Stephanie Reinauer, 2023. "Discrete-event simulation modeling for housing of homeless populations," PLOS ONE, Public Library of Science, vol. 18(4), pages 1-18, April.
    3. Liao, Haiyan & Holguín-Veras, José & Calderón, Oriana, 2023. "Comparative analysis of the performance of humanitarian logistic structures using agent-based simulation," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    4. A D MacCalman & H Vieira & T Lucas, 2017. "Second-order nearly orthogonal Latin hypercubes for exploring stochastic simulations," Journal of Simulation, Taylor & Francis Journals, vol. 11(2), pages 137-150, May.
    5. Yaren Bilge Kaya & Kayse Lee Maass & Geri L. Dimas & Renata Konrad & Andrew C. Trapp & Meredith Dank, 2024. "Improving access to housing and supportive services for runaway and homeless youth: Reducing vulnerability to human trafficking in New York City," IISE Transactions, Taylor & Francis Journals, vol. 56(3), pages 296-310, March.
    6. 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).
    7. 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).
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