Show simple item record

dc.contributor.authorWang, Yuehan, M.C.P. Massachusetts Institute of Technology.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Urban Studies and Planning.en_US
dc.contributor.otherMassachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development.en_US
dc.date.accessioned2021-10-06T19:57:25Z
dc.date.available2021-10-06T19:57:25Z
dc.date.copyright2021en_US
dc.date.issued2021en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/132755
dc.descriptionThesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, February, 2021en_US
dc.descriptionThesis: S.M. in Real Estate Development, Massachusetts Institute of Technology, Program in Real Estate Development in conjunction with the Center for Real Estate, February, 2021en_US
dc.descriptionCataloged from the official PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 72-76).en_US
dc.description.abstractThis study responds to the accelerating application of technologies in the building environment and lack of academic research exploring how these technologies are developed over time. "Built environment technologies" refers to technologies that impact the built environment, including architecture, construction, urban planning, and real estate. This study employs a "technology awareness metric" system to quantitatively trace and analyze the "invention, innovation, and diffusion" process of built environment technologies. The technology awareness metric system contains three parts: 1) research and development awareness, defined by published academic papers and granted patents; 2) capital market awareness, signaled by the number of companies established and the amount of historical funding; and 3) general public awareness, measured by Twitter activities and Google Search traffic. Using Engle-Granger two-step cointegration test method, this study compares the awareness time-series of 208 built environment technologies in pairs. The results show that different awareness measures coexist and cointegrate, suggesting that invention, innovation, and diffusion are not necessarily successive. More specifically, papers and patents tend to cointegrate, as do companies and funding; Twitter activities tend to cointegrate with companies, funding, papers, and patents. Furthermore, general public awareness demonstrates the highest uniformity in time-series patterns, followed by capital market awareness, and research and development awareness.en_US
dc.description.statementofresponsibilityby Yuehan Wang.en_US
dc.format.extent86 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.subjectUrban Studies and Planning.en_US
dc.subjectCenter for Real Estate. Program in Real Estate Development.en_US
dc.titleMeasuring built environment technology awareness using time-series analysisen_US
dc.typeThesisen_US
dc.description.degreeM.C.P.en_US
dc.description.degreeS.M. in Real Estate Developmenten_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Urban Studies and Planningen_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Real Estateen_US
dc.identifier.oclc1265091056en_US
dc.description.collectionM.C.P. Massachusetts Institute of Technology, Department of Urban Studies and Planningen_US
dc.description.collectionS.M.inRealEstateDevelopment Massachusetts Institute of Technology, Program in Real Estate Development in conjunction with the Center for Real Estateen_US
dspace.imported2021-10-06T19:57:25Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentUrbStuden_US
mit.thesis.departmentREDen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record