Predicting geographic transience in homeless young adults across three U.S. cities

Who are these frequent flyers and distance travelers

Dados Bibliográficos

ID8243299
AutoresKristin M Ferguson (0000-0002-5977-7119, Arizona State University, autor correspondente), Edward Helderop (0000-0003-0590-5258, Arizona State University), Kimberly Bender (0000-0001-6659-6140, University of Denver), T H Grubesic (0000-0003-4517-586X, Arizona State University)
Ano2016
Volume26
Fascículo7-8
Páginas648-663
Data de publicação2016-11-16
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoJournal of Human Behavior in the Social Environment (JOURNAL)
Identificadores do periódicoISSN: 1091-1359 • E-ISSN: 1540-3556
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10911359.2016.1252706
OpenAlexW2552035770
IdiomaEN
Citações recebidas4
Referências citadas23

Prior research reveals high rates of geographic mobility (i.e., transience) among homeless young adults (HYAs). Yet to date, little is known about predictors of different aspects of their transience as well as characteristics of the most highly transient HYAs. This study thus used the risk/resilience framework to identify predictors of three measures of HYAs’ transience (i.e., number of intercity moves, total distance traveled, and average distance traveled) as well as to identify the characteristics of the most highly transient HYAs: frequent flyers (i.e., HYAs with seven or more intercity moves), distance travelers (i.e., HYAs who have traveled average distances greater than 1,092 kilometers), and combined frequent flyers and distance travelers (i.e., HYAs with seven or more intercity moves and average travel distances greater than 1,092 kilometers). Purposive sampling was used to recruit 601 HYAs (ages 18–24) from Los Angeles, Austin, and Denver. Three Ordinary Least Squares regression models identified predictors of each facet of transience. Chi-square tests and independent t-tests were then used to identify profiles of frequent flyers and distance travelers by using the upper quartiles on the variables number of intercity moves and average distance traveled, respectively. Findings reveal similarities in the risk predictors and profiles. The resilience characteristic of self-reliance was a consistent predictor of all three measures of transience. Understanding that transience among HYAs serves both adaptive and maladaptive purposes can inform service providers in customizing interventions aimed at supporting adaptive travel to make it safer as well as preventing and reducing maladaptive travel

Geography · Psychological resilience · Health disparities and outcomes · Homelessness and Social Issues · Psychology · Urban, Neighborhood, and Segregation Studies