2026-09-19T18:51:06Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/621182022-01-13T07:55:03Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Alex (Sandy) Pentland.
Krumme, Katherine
Massachusetts Institute of Technology. Dept. of Architecture. Program in Media Arts and Sciences.
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
2011-04-04T17:48:10Z
2011-04-04T17:48:10Z
2010
2010
http://hdl.handle.net/1721.1/62118
709619218
Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 40-41).
Shopping is driven by needs (to eat, to socialize, to work), but it is also a driver of where we go. I examine the transaction records of 80 million customers and find that while our economic choices predict mobility patterns overall, at the small scale we transact unpredictably. In particular, we bundle together multiple store visits, and interleave the order in which we frequent those stores. Individual predictability also varies with income level. I end with a description of how merchant composition emerges in US cities, as seen through the lens of credit card swipes.
by Katherine (Coco) Krumme.
S.M.
45 p.
eng
Massachusetts Institute of Technology
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.
http://dspace.mit.edu/handle/1721.1/7582
Architecture. Program in Media Arts and Sciences.
How predictable : patterns of human economic behavior in the wild
Thesis
application/pdf
Publication
unknown
unknown
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<Abstract>Shopping is driven by needs (to eat, to socialize, to work), but it is also a driver of where we go. I examine the transaction records of 80 million customers and find that while our economic choices predict mobility patterns overall, at the small scale we transact unpredictably. In particular, we bundle together multiple store visits, and interleave the order in which we frequent those stores. Individual predictability also varies with income level. I end with a description of how merchant composition emerges in US cities, as seen through the lens of credit card swipes.</Abstract>
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