Show simple item record

dc.contributor.advisorMarta C. Gonzàlez, Joseph M. Sussman and P. Christopher Zegras.en_US
dc.contributor.authorToole, Jameson Lawrenceen_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.date.accessioned2015-09-17T19:00:56Z
dc.date.available2015-09-17T19:00:56Z
dc.date.copyright2015en_US
dc.date.issued2015en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/98631
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Engineering Systems Division, June 2015.en_US
dc.descriptionCataloged from PDF version of thesis. "February 2015."en_US
dc.descriptionIncludes bibliographical references (pages 223-241).en_US
dc.description.abstractAccording 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.en_US
dc.description.statementofresponsibilityby Jameson Lawrence Toole.en_US
dc.format.extent241 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectEngineering Systems Division.en_US
dc.titlePutting big data in its place : understanding cities and human mobility with new data sourcesen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.identifier.oclc920673126en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record