The project focuses on the time and space of homeless persons in relation to conditions of a post-socialistic city. Its goal is to describe characteristics, life and time-space paths and everyday life of homeless people in the context of two Czech cities. The project is unique in many ways. It is the first comparative research on homelessness in the Czech Republic, which is focused on previously neglected topics such as specific time and timing of the activities of the homeless persons. As working with homeless people belonging to various categories of homelessness, it brings a new perspective to the dynamics of living in those types. The combination of research methods used in the project is also unique - as one of a few in Europe it uses empirical GPS devices for studying mobility. In the Czech Republic, it applies the previously unused method of RDS (respondent driven sampling) survey. The surveys and structured interviews are completed with ethnography and photovoice. It put strong emphasis on the active participation of the homeless in the data-collection. Apart from other results, the project provides visually attractive unique data about the situation on the street.
Project publications (total 2, displaying 1 - 2)
The article uses photovoice to explore the everyday geography of homelessness and its affective dimension. We focus on two aspects of the everyday geography captured by photovoice: (1) movement in space and (2) the performativity of heterotopic places. The aim is to understand how the research partners as actors (re)present and (re)construct their everyday geography by visual means and how they relate to it affectively (or otherwise).
Respondent-driven sampling (RDS) is a survey method for hidden populations and, as such, it offers a suitable approach for sampling the homeless. Surprisingly, the practical use of RDS in surveying homeless populations has only sporadically been described in the professional literature so far, and the specifics of using RDS for sampling this group have not been reflected in depth.
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