2026-09-19T02:01:48Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/765332022-01-13T07:55:03Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
César A. Hidalgo.
Salesses, Mark Philip
Massachusetts Institute of Technology. Dept. of Architecture. Program in Media Arts and Sciences.
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
2013-01-23T19:49:58Z
2013-01-23T19:49:58Z
2012
2012
http://hdl.handle.net/1721.1/76533
823939001
Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2012.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 59-63).
This thesis presents Place Pulse, a tool capable of conducting large crowdsourced visual preference surveys. The data collected with Place Pulse was used to create quantitative measures of the perceptions people hold of urban environments. From this data, novel algorithms identified locations associated with positive and negative perceptions of safety, social class and uniqueness. The high throughput of the tool addressed two important methodological questions: the number of responses required to obtain robust results in a comparative study, and the number of images required to get a statistically significant evaluative map of a large city. In closing, the validated dataset was used to correlate perceptions of safety and social class to rates of both violent crime and high school graduation.
Mark Philip Salesses.
S.M.
65 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Architecture. Program in Media Arts and Sciences.
Place Pulse : measuring the collaborative image of the city
Measuring the collaborative image of the city
Thesis
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<Abstract>This thesis presents Place Pulse, a tool capable of conducting large crowdsourced visual preference surveys. The data collected with Place Pulse was used to create quantitative measures of the perceptions people hold of urban environments. From this data, novel algorithms identified locations associated with positive and negative perceptions of safety, social class and uniqueness. The high throughput of the tool addressed two important methodological questions: the number of responses required to obtain robust results in a comparative study, and the number of images required to get a statistically significant evaluative map of a large city. In closing, the validated dataset was used to correlate perceptions of safety and social class to rates of both violent crime and high school graduation.</Abstract>
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