Mapping non-places through user-generated data: the case of ankara

2021-7-12
Demiröz, Melek
“Place” as a phenomenon has been a long-debated topic in many research areas, from architecture to geography as well as in anthropology. In recent decades, people have lived in a fast-paced and homogenized world where change is constant as a result of advances in digital technology. In parallel to that, the perception and the experience of place is changing through time along with these advances. In other words, since the notion of “place” is highly related to people and their experiences, it is also in constant change with the developing technology and changing conditions in everyday life of people. In that vein, the emergence of contemporary place notions in present-time becomes inevitable while it becomes more difficult to grasp the phenomenon of place. As the notion of place is an individual phenomenon, depending on people’s experience and perception, describing and understanding contemporary place through its users’ point of view can be remedial in explaining the notion of place. While digital technology also provides quick access to large amounts of information about places with big data, it is easier to collect and extract user-generated data which give clues about experiences and perceptions of the users of places. The proliferation of location-based social media platforms also contributes to the process of gathering and utilizing data to understand the contemporary place notion. The contribution of this study to the research in the field is that it introduces a methodology to reveal people’s experience and perception with publicly available photo and review data of non-places. In this study how non-places can turn into places (and vice versa) and whether non-place typologies exhibit all characteristics of non-places to the same degree or not is examined. Non-places, introduced as contemporary places by French Anthropologist Marc Augé are analyzed in this thesis via mapping as an act and as a tool by the help of web data. The selected cases from the city of Ankara are Ankamall and Kentpark as shopping malls, Ankapark and Altınpark as theme parks, JW Marriott and Sheraton as hotel chains, Ankara High-Speed Train Station and Ankara Train Station as train stations, Esenboğa Airport as airport, Kızılay and Ulus Stations as metro stations and AŞTİ as a bus terminal.

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Citation Formats
M. Demiröz, “Mapping non-places through user-generated data: the case of ankara,” M.Arch. - Master of Architecture, Middle East Technical University, 2021.