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dc.contributor.advisorJinhua Zhao.en_US
dc.contributor.authorLi, Zelin, M.C.P. Massachusetts Institute of Technologyen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Urban Studies and Planning.en_US
dc.coverage.spatiala-cc-peen_US
dc.date.accessioned2016-10-25T19:17:14Z
dc.date.available2016-10-25T19:17:14Z
dc.date.copyright2016en_US
dc.date.issued2016en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/104986
dc.descriptionThesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2016.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 117-119).en_US
dc.description.abstractRecently, the rapid development of smartphone technologies has brought new opportunities for the citizen travel survey. Based on a survey performed using a smartphone app, Moves, in Beijing, China, this thesis discusses the survey design and implementation process as well as the mobility analysis methods. The survey was launched in January 2016. This thesis is based on data from 258 subjects. The air quality is monitored through several objective measures. However, citizens' subjective feelings have rarely been investigated. This thesis develops the Perceived Air Quality (PAQ) measure that captures the sensory reactions to air pollution. The PAQ data are collected through questionnaires, which are part of the travel survey. A strong correlation is found between daily average PAQ and AQI, indicating that the PAQ could become a meaningful indicator for air quality. However, the strong correlation only exists in the aggregated level. Finally, the thesis evaluates the association between travel behavior and air quality. Travel behavior is measured by number of trips, number of non-motorized trips, percentage of non-motorized trips, total distance traveled and total travel time. The air quality is measured by AQI and PAQ. The Random Effect regression models show that the association between travel behavior and air quality is pretty weak. It indicates that currently not many Beijing residents are taking air quality as a crucial factor when making travel decisions.en_US
dc.description.statementofresponsibilityby Zelin Li.en_US
dc.format.extent136 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.subjectUrban Studies and Planning.en_US
dc.titleSmartphone-based mobility mapping and Perceived Air Quality evaluation in Beijingen_US
dc.title.alternativeSmartphone-based mobility mapping and PAQ evaluation in Beijingen_US
dc.typeThesisen_US
dc.description.degreeM.C.P.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Urban Studies and Planning
dc.identifier.oclc959977642en_US


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