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Understanding metropolitan patterns of daily encounters
Author(s):
Lijun Sun, Kay W. Axhausen, Der-Horng Lee, Xiangfeng Huang
Institution:
National University of Singapore
Year:
2013
URL:
http://www.pnas.org/content/110/34/13774.abstract
Project Description:
The authors' work here analyzed travel smart card data to uncover encounters between "familiar strangers" in daily life. They built a social encounter network on public buses and discovered that these repeated encounters on public transportation become ingrained over time as a "structure of co-presence" across the entire city, visible only at the large-scale level of analysis. The encounter frequencies of an individual depend on his or her "behavioral regularity", demonstrating how large-scale order arises from individual dynamic tendencies.
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