Ma(i)cro visions : utilizing social network service data for a transformational process of urban social spaces

The proliferation of data and technological evolution visualizes normally unseen dimensions of human interaction. However in urban studies, only a few embrace this new way of seeing as a practical tool to observe the public realm. This thesis recognizes the digital traces we leave on the web in our everyday life as a new resource to understand the human interaction with the city. The thesis explores reading social space with social network service data and develops a manual for a new way of reading the city that integrates this new layer of information with traditional methods. The research collects Instagram location data which is stored when people tag their post with a location. I read these data points to form a psychological geography comprised of meaningful places that people recognize, share and remember. The thesis is twofold: understanding the behavior of this data and finding ways to use it. The thesis first, maps demographic characteristics, the psychological geography, and the built form, and overlaps them to understand the relationship among people, perception and the built form in Boston. The analysis concludes that qualitative social space reading becomes more limited as the population turns vulnerable and the location density decreases, because the meaningful places for people shift towards commercial and private spaces. This calls for a new reading of social space that combines traditional quantitative city reading process with this new collective perception, which forms the second part of the thesis. The manual studies the spatial character of pathways, areas and buildings that appear pivotal or are completely invisible in the psychological geography. The thesis argues that the human perception of a neighborhood constructed through micro documentations of people's everyday experiences informs urban designers with the spatial character of places that form the local identity.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Architecture.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2015

Author dc:creator

• Ahn, Chaewon

Advisor dc:contributor.advisor

• Michael Dennis and Sarah Williams.

• Architecture.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/99269

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/99269