Charalampos Chelmis
ABSTRACT
This paper models, for the first time, the homelessness system as a network of interconnected services which individuals traverse over time towards securing stable housing, and formalizes the concept of stability upon exit of the system. A computational analysis of individual-level longitudinal homelessness data shows that the ultimate goal is either reached quickly or not at all, regardless of starting conditions, indicating the importance of addressing the homeless' needs early on.
- "System Performance Measure 7: Destination Classification," Retrieved May 26, 2021, from https://www.hudexchange.info/resource/4966/system-performance-measure-7-destination-classification/, 2016.Google Scholar
- M. Elliott and L. J. Krivo, "Structural determinants of homelessness in the United States," Social problems, vol. 38, no. 1, pp. 113--131, 1991.Google ScholarCross Ref
- S. Fitzpatrick, "Explaining homelessness: a critical realist perspective," Housing, Theory and Society, vol. 22, no. 1, pp. 1--17, 2005.Google ScholarCross Ref
- M. Henry, T. de Sousa, C. Roddey, S. Gayen, T. Joe Bednar, and A. Associates, "The 2020 Annual Homeless Assessment Report (AHAR) to Congress. Part 1: Point-in-time estimates of homelessness," The US Department of Housing and Urban Development, 2021.Google Scholar
- B. Hong, A. Malik, J. Lundquist, I. Bellach, and C. E. Kontokosta, "Applications of machine learning methods to predict readmission and length-of-stay for homeless families: The case of win shelters in new york city," Journal of Technology in Human Services, vol. 36, no. 1, pp. 89--104, 2018.Google ScholarCross Ref
- J. Jarvis, "Individual determinants of homelessness: A descriptive approach," Journal of Housing Economics, vol. 30, pp. 23--32, 2015.Google ScholarCross Ref
- M. Johnstone, C. Parsell, J. Jetten, G. Dingle, and Z. Walter, "Breaking the cycle of homelessness: Housing stability and social support as predictors of long-term well-being," Housing Studies, vol. 31, no. 4, pp. 410--426, 2016.Google ScholarCross Ref
- R. Kuhn and D. P. Culhane, "Applying cluster analysis to test a typology of homelessness by pattern of shelter utilization: Results from the analysis of administrative data," American journal of community psychology, vol. 26, no. 2, pp. 207--232, 1998.Google Scholar
- B. A. Lee, T. Price-Spratlen, and J. W. Kanan, "Determinants of homelessness in metropolitan areas," Journal of Urban Affairs, vol. 25, no. 3, pp. 335--356, 2003.Google ScholarCross Ref
- T. Main, "How to think about homelessness: Balancing structural and individual causes," Journal of social distress and the homeless, vol. 7, no. 1, pp. 41--54, 1998.Google ScholarCross Ref
- P. H. Rossi and J. D. Wright, "The determinants of homelessness," Health Affairs, vol. 6, no. 1, pp. 19--32, 1987.Google ScholarCross Ref
- H. Schütze, C. D. Manning, and P. Raghavan, Introduction to information retrieval. Cambridge University Press Cambridge, 2008, vol. 39.Google Scholar
- M. Shinn, B. C. Weitzman, D. Stojanovic, J. R. Knickman, L. Jimenez, L. Duchon, S. James, and D. H. Krantz, "Predictors of homelessness among families in New York City: from shelter request to housing stability," American Journal of Public Health, vol. 88, no. 11, pp. 1651--1657, 1998.Google ScholarCross Ref
- United States Department of Housing and Urban Development, "HMIS Data Standards Manual," Retrieved May 26, 2021, from https://www.hudexchange.info/resource/3824/hmis-data-dictionary/, 2020.Google Scholar
- B. Van Straaten, J. Van der Laan, G. Rodenburg, S. N. Boersma, J. R. Wolf, and D. Van de Mheen, "Dutch homeless people 2.5 years after shelter admission: what are predictors of housing stability and housing satisfaction?" Health & social care in the community, vol. 25, no. 2, pp. 710--722, 2017.Google Scholar
- Y.-L. I. Wong, D. P. Culhane, and R. Kuhn, "Predictors of exit and reentry among family shelter users in New York City," Social Service Review, vol. 71, no. 3, pp. 441--462, 1997.Google ScholarCross Ref
Index Terms
- Peeking through the homelessness system with a network science lens
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