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dc.contributor.advisorMariana Arcaya.en_US
dc.contributor.authorTan, Shin Binen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Urban Studies and Planning.en_US
dc.date.accessioned2017-05-11T19:06:15Z
dc.date.available2017-05-11T19:06:15Z
dc.date.copyright2017en_US
dc.date.issued2017en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/108838
dc.descriptionThesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2017.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 62-68).en_US
dc.description.abstractBoosting physical activity in school-going children has multiple health and educational benefits. One strategy to boost physical activity is to have students adopt more active commutes. However, empirical health studies suggest that students respond to physical activity interventions by cutting down their activity throughout the rest of the day. If such compensatory behavior occurs in response to commuting-based physical activity initiatives, then these initiatives may not achieve their desired outcomes. Using a dataset of walking data logged by about 7,700 Singaporean students wearing portable sensors, I examine the question: Do students who walk or take public transport to school walk more throughout the day than their peers who are driven to school, or do they compensate for more active morning commutes by walking less for rest of the day? This study triangulates three statistical approaches to identify the relationship between morning commute mode choice and walking activity: a multivariate linear regression model that includes potential confounders like students' age group, household socio-economic status and built environment characteristics around home and school; a propensity score covariate adjustment model using similar baseline covariates as the first analysis; and a fixed effects model that estimates the net impact of inter-day mode changes for each individual student. Results from all three analyses suggest that students who take public transport or walk to school log a statistically significant and substantial number of steps more than their counterparts who are driven to school. However, this positive difference is whittled away by the end of the day, which supports the hypothesis that students with more active commutes compensate by walking less throughout the day. Programs to encourage active commuting may thus have limited effectiveness in boosting students' physical activity.en_US
dc.description.statementofresponsibilityby Shin Bin Tan.en_US
dc.format.extent104 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectUrban Studies and Planning.en_US
dc.titleDo school-going children with more active modes of morning commutes walk more throughout the day?en_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.oclc986243228en_US


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