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dc.contributor.advisorR. John Hansman and Florian Allroggen.en_US
dc.contributor.authorMaddens Toscano, Pedro Manuel.en_US
dc.contributor.otherMassachusetts Institute of Technology. Institute for Data, Systems, and Society.en_US
dc.contributor.otherTechnology and Policy Program.en_US
dc.date.accessioned2020-09-03T18:47:51Z
dc.date.available2020-09-03T18:47:51Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/127173
dc.descriptionThesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, May, 2020en_US
dc.descriptionCataloged from the official PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 67-71).en_US
dc.description.abstractLondon Heathrow Airport has both beneficial and detrimental impacts on surrounding communities such as, for example, job creation and noise. The population living in the airport's proximity notices, cares about, and perceives its impacts which have often been studied only partially in literature. This thesis used the concept of Quality of Life to look at impacts multi-dimensionally. A framework was developed and used to systematically analyze Quality of Life impacts of Heathrow Airport using both spatial and regression analysis methods at different spatial resolutions with data collected from statistical authorities and social media. Low spatial resolution analysis found a beneficial impact of proximity to Heathrow Airport for economic conditions, accessibility & connectivity, health, and well-being metrics. Opportunities to verify this analysis with higher-resolution data were sought, but limited data was available. Housing transaction data was available at both low and middle spatial resolutions, and a beneficial impact of proximity to Heathrow Airport was observed at both levels. Counterfactual analysis found that the Heathrow Region performed better than many other regions for housing values and health metrics, and worse for certain well-being/happiness metrics. Additionally, high spatial resolution social media data was collected to analyze perceptions, sentiments, and opinions posted in proximity to Heathrow Airport. This analysis found that aviation and aviation-noise tweets skew negatively as compared to all tweets and that sentiment closer to the airport skews more positively than in the Greater London Region.en_US
dc.description.statementofresponsibilityby Pedro Manuel Maddens Toscano.en_US
dc.format.extent71 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectInstitute for Data, Systems, and Society.en_US
dc.subjectTechnology and Policy Program.en_US
dc.titleImpacts of airports on the quality of life of surrounding communitiesen_US
dc.typeThesisen_US
dc.description.degreeS.M. in Technology and Policyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Societyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.contributor.departmentTechnology and Policy Programen_US
dc.identifier.oclc1191626244en_US
dc.description.collectionS.M.inTechnologyandPolicy Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Societyen_US
dspace.imported2020-09-03T18:47:51Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentESDen_US
mit.thesis.departmentIDSSen_US


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