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dc.contributor.advisorWilliam C. Wheaton.en_US
dc.contributor.authorNguyen, Scott (Scott Ti)en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Architecture.en_US
dc.date.accessioned2007-06-27T20:27:09Z
dc.date.available2007-06-27T20:27:09Z
dc.date.issued2006en_US
dc.identifier.urihttp://dspace.mit.edu/handle/1721.1/37443en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/37443
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, Dept. of Architecture, 2006.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.description"September 2006."en_US
dc.descriptionIncludes bibliographical references (leaves 90-91).en_US
dc.description.abstractRecently, scholars and non-scholars alike have written and spoken much about the reversal of urban sprawl and the in-migration of young professionals and empty nesters. The objective of this study is first, to examine the relative city performance for the three defined metrics to determine whether cities are leading or lagging their MSAs in each respective metric and second, to determine how differences in relative performance correlate to the independent variables. Additional analyses will be performed to determine changes in household composition and relationships between supply growth and demand growth. This paper, using OLS regression techniques, examines the correlation between various measures of relative city to MSA growth performance (specified as relative population, housing unit and property value growth) and various independent variables for a representative sample of seventy three metropolitan areas. The study period includes data from 2000 to 2004. The twenty eight independent variables can be categorized into three major groups: (1) Demographic Characteristics (2) Environmental Characteristics and (3) Transportation Statistics. The results show that, on average, central cities perform worse than their MSAs in terms of housing unit and population growth while outperforming in terms of property value growth. In central cities, housing units are growing faster than population, indicating either shrinking household size or increases in investor/second home demand. Considerable variation exists and averages do not tell the whole story. Certain independent variables, namely roadway miles and transit miles have strong correlations to relative growth metrics while others such as the city's proportion of total MSA population have no observable relationship. Another surprising result is that a city's proximity to a water amenity has negative correlation to its relative population, housing unit and property value growth rate.en_US
dc.description.statementofresponsibilityby Scott Nguyen.en_US
dc.format.extent100 leavesen_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/1721.1/37443en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectArchitecture.en_US
dc.titleThe central city : why the comeback?en_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Architecture
dc.identifier.oclc123421985en_US


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