Putting big data in its place : understanding cities and human mobility with new data sources
Name
920673126-MIT.pdf
Description
Full printable version
Size
13.96 MB
Format
Adobe PDF
Checksum (MD5)
74750b9c4a312b3025604f09ff5e7a9e
Author(s)
Toole, Jameson Lawrence
Advisor(s)
Marta C. Gonzàlez, Joseph M. Sussman and P. Christopher Zegras.
Date Issued
2015
Publisher
Massachusetts Institute of Technology
Abstract
According the United Nations Population Fund (UNFPA), 2008 marked the first year in which the majority of the planet's population lived in cities. Urbanization, already over 80% in many western regions, is increasing rapidly as migration into cities continue. The density of cities provides residents access to places, people, and goods, but also gives rise to problems related to health, congestion, and safety. In parallel to rapid urbanization, ubiquitous mobile computing, namely the pervasive use of cellular phones, has generated a wealth of data that can be analyzed to understand and improve urban systems. These devices and the applications that run on them passively record social, mobility, and a variety of other behaviors of their users with extremely high spatial and temporal resolution. This thesis presents a variety of novel methods and analyses to leverage the data generated from these devices to understand human behavior within cities. It details new ways to measure and quantify human behaviors related to mobility, social influence, and economic outcomes.
Description
Thesis: Ph. D., Massachusetts Institute of Technology, Engineering Systems Division, June 2015.
Cataloged from PDF version of thesis. "February 2015."
Includes bibliographical references (pages 223-241).
Subjects
Engineering Systems Division.
MIT Department
Massachusetts Institute of Technology. Engineering Systems Division
Terms of Use
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