IDEAS home Printed from https://ideas.repec.org/a/taf/chosxx/v31y2016i8p984-997.html
   My bibliography  Save this article

Assessing emergency shelter patterns to inform community solutions to homelessness

Author

Listed:
  • Hannah Rabinovitch
  • Bernadette Pauly
  • Jinhui Zhao

Abstract

The goal of this study was to examine individuals’ emergency shelter stay records to gain insight into cycles of homelessness and strategies to end homelessness. We examined over 46 000 records of 4332 unique individuals from six of Victoria, Canada’s adult emergency shelters from May 2010–May 2014. Individuals’ stay records were clustered using the k-means cluster analysis, based on total days stayed and total number of episodes of homelessness over the four-year period. Consistent with other Canadian cities, three significant clusters emerged from the analysis: temporary, episodic and long stay. The episodic and long-stay cluster accounted for more than 50 percent of shelter bed nights. Age and gender were analyzed, with seniors more likely to be represented in the long-stay cluster. These findings highlight the need for prevention and rapid re-housing initiatives for those experiencing temporary shelter use, and housing with intensive supports for those in the episodic and long-stay clusters.

Suggested Citation

  • Hannah Rabinovitch & Bernadette Pauly & Jinhui Zhao, 2016. "Assessing emergency shelter patterns to inform community solutions to homelessness," Housing Studies, Taylor & Francis Journals, vol. 31(8), pages 984-997, November.
    • Handle: RePEc:taf:chosxx:v:31:y:2016:i:8:p:984-997
    DOI: 10.1080/02673037.2016.1165801
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02673037.2016.1165801
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/02673037.2016.1165801?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tim Aubry & Ayda Agha & Cilia Mejia-Lancheros & James Lachaud & Ri Wang & Rosane Nisenbaum & Anita Palepu & Stephen W. Hwang, 2021. "Housing Trajectories, Risk Factors, and Resources among Individuals Who Are Homeless or Precariously Housed," The ANNALS of the American Academy of Political and Social Science, , vol. 693(1), pages 102-122, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:chosxx:v:31:y:2016:i:8:p:984-997. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/chos20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.