Activity spaces of homeless men and women measured by GPS tracking data: A comparative analysis of Prague and Pilsen

Šimon, Martin; Vašát, Petr; Poláková, Markéta; Gibas, Petr; Daňková, Hana

doi:10.1016/j.cities.2018.09.011

Cited by 28 publications

(9 citation statements)

References 33 publications

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“…He identified four other motivations, particularly for mobility across Canada: social connections, the influence of different places, and personal finances, all of which could drive people to move between different locations. Homeless people from all kinds of accommodation were found to have an notable daily mobility [31], but little is known about their residential mobility over several months. Allaria et al (2021) [32] report that the lockdown of the general population in France severely impacted the survival systems of the populations furthest from housing, with alarming rates of people without access to water or food.…”

Section: Discussionmentioning

confidence: 99%

Residential Mobility of a Cohort of Homeless People in Times of Crisis: COVID-19 Pandemic in an European Metropolis

Allibert¹,

Tinland²,

Landier³

et al. 2022

Preprint

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Most vulnerable individuals are particularly affected by the COVID-19 pandemic. This study takes place in a large city in France. The aim of this study is to describe the mobility of the homeless population at the begin-ning of the health crisis and to analyze its impact in terms of COVID-19 prevalence. From June to August 2020 and September to December 2020, 1272 homeless people were invited to be tested for SARS-CoV-2 antibodies and virus in and completed questionnaires. Our data show that homeless populations are sociologically dif-ferent depending on where they live. We show that people living on the street were most likely to be relocated to emergency shelters than other inhabitants. Some neighborhoods are points of attraction for homeless peo-ple in the city while others emptied during the health crisis, which had consequences for virus circulation. People with a greater number of different dwellings reported became more infected. This first study of the mo-bility and epidemiology of homeless people in time of pandemic provides unique information about mobility mapping, sociological factors of this mobility, mobility at different scales and epidemiological consequences. We suggest that homeless policies need to be radically transformed since actual model exposes people to infection in emergency.

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Section: Discussionmentioning

confidence: 99%

Residential Mobility of a Cohort of Homeless People in Times of Crisis: COVID-19 Pandemic in an European Metropolis

Allibert¹,

Tinland²,

Landier³

et al. 2022

Preprint

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“…We quantified resource proximity using spatial joins and point distance analyses to determine distances between an abandoned house and all resources within 400 and 8000 m. The distances are based on the standard reasonable walking distance of one-quarter mile for pedestrians (e.g., [33,34]) and a five-mile median daily walking distance of homeless persons [35]. (For ethnographic studies of urban homeless mobility, see [36][37][38].) We utilized walking distance areas rather than standard 'as-the-crow-flies' circular buffers since the walking distance area analysis more closely resembles human walking patterns by employing pedestrian accessible networks (e.g., paths and roads).…”

Section: Methodsmentioning

confidence: 99%

Homeless Interactions with the Built Environment: A Spatial Pattern Language of Abandoned Housing

et al. 2019

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Research demonstrates that homeless individuals use urban space in adaptive and endemic ways. Investigations at city and neighborhood scales would benefit from attention to homeless use of abandoned housing. We employ the pattern language approach developed by Christopher Alexander for twenty-two abandoned houses in Newark, Ohio. We use statistical and geospatial data analyses to evaluate hypotheses related to prospect and refuge site qualities, accessibility, and attractiveness to homeless persons, and the proximity of sites to resources. Factors related to prospect/refuge, accessibility, and resource proximity were consistent with the hypotheses. Results can be grouped into four distinct patterns: ‘Hiding Places,’ ‘Welcome Mat,’ ‘Shelter (Un)becoming,’ and ‘Proximity to Resources.’ Based on these patterns, we conclude with recommendations for officials and organizations addressing homelessness.

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“…Other tools available on smartphones such as global positioning system (GPS) also have had limited use in research (36)(37)(38). For example, GPS-enabled smartphones may be able to provide information about the mobility patterns, suggesting linkages between spatial context, day-to-day experiences and emotions, and pathways into and out of homelessness (45,46). Researchers increasingly recognize the potential of smartphones for real time data collection in populations at risk of or experiencing homelessness (45,46).…”

Section: Mobile Technologies As a Research Toolmentioning

confidence: 99%

“…For example, GPS-enabled smartphones may be able to provide information about the mobility patterns, suggesting linkages between spatial context, day-to-day experiences and emotions, and pathways into and out of homelessness (45,46). Researchers increasingly recognize the potential of smartphones for real time data collection in populations at risk of or experiencing homelessness (45,46). However, the utility of studies collecting data via smartphone, depend on generating interest in participating and being able to ask the right questions at the right time.…”

Section: Mobile Technologies As a Research Toolmentioning

confidence: 99%

Longitudinal high-frequency ethnographic interviewing to simulate and prepare for intensive smartphone data collection among veterans with homeless experience

McInnes

Dunlap

Fix

et al. 2022

Front. Digit. Health

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ObjectiveWhile Veteran homelessness has steadily declined over the last decade, those who continue to be unhoused have complex health and social concerns. Housing instability interferes with access to healthcare, social services, and treatment adherence. Preventing unwanted housing transitions is a public health priority. This study is the first phase of a larger research agenda that aims to test the acceptability and feasibility of smartphone-enabled data collection with veterans experiencing homelessness. In preparation for the development of the smartphone data collection application, we utilized ethnographic methods guided by user-centered design principles to inform survey content, approach to recruitment and enrollment, and design decisions.MethodsWe used a case study design, selecting a small sample (n = 10) of veterans representing a range of homelessness experiences based on risk and length of time. Participants were interviewed up to 14 times over a 4-week period, using a combination of qualitative methods. Additionally, 2 focus group discussions were conducted. Interviews were audio-recorded and transcribed. Data were synthesized and triangulated through use of rapid analysis techniques.ResultsAll participants had experience using smartphones and all but one owned one at the time of enrollment. Participants described their smartphones as “lifelines” to social network members, healthcare, and social service providers. Social relationships, physical and mental health, substance use, income, and housing environment were identified as being directly and indirectly related to transitions in housing. Over the course of ~30 days of engagement with participants, the research team observed dynamic fluctuations in emotional states, relationships, and utilization of services. These fluctuations could set off a chain of events that were observed to both help participants transition into more stable housing or lead to setbacks and further increase vulnerability and instability. In addition to informing the content of survey questions that will be programmed into the smartphone app, participants also provided a broad range of recommendations for how to approach recruitment and enrollment in the future study and design features that are important to consider for veterans with a range of physical abilities, concerns with trust and privacy, and vulnerability to loss or damage of smartphones.ConclusionThe ethnographic approach guided by a user-centered design framework provided valuable data to inform our future smartphone data collection effort. Data were critical to understanding aspects of day-to-day life that important to content development, app design, and approach to data collection.

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Activity spaces of homeless men and women measured by GPS tracking data: A comparative analysis of Prague and Pilsen

Cited by 28 publications

References 33 publications

Residential Mobility of a Cohort of Homeless People in Times of Crisis: COVID-19 Pandemic in an European Metropolis

Residential Mobility of a Cohort of Homeless People in Times of Crisis: COVID-19 Pandemic in an European Metropolis

Homeless Interactions with the Built Environment: A Spatial Pattern Language of Abandoned Housing

Longitudinal high-frequency ethnographic interviewing to simulate and prepare for intensive smartphone data collection among veterans with homeless experience

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