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dc.contributor.advisorWilliam C. Wheaton.en_US
dc.contributor.authorBarrera-Villarreal, Alfonsoen_US
dc.contributor.otherMassachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development.en_US
dc.coverage.spatialn-us-txen_US
dc.date.accessioned2012-01-11T20:18:17Z
dc.date.available2012-01-11T20:18:17Z
dc.date.copyright2011en_US
dc.date.issued2011en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/68194
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, 2011.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.en_US
dc.description.abstractThe purpose of this thesis is to analyze how a developer can best redevelop a vacant big box retail property. To accomplish this, statistical, geographical and demographical analysis was done on previously repositioned vacant big boxes. To make this project manageable, the timeline for this study was limited to properties redeveloped within the last ten years and the geographic scope was narrowed to the state of Texas. Sales data on vacant big boxes sold in Texas within the last ten years was collected from Real Capital Analytics. Research was conducted via Internet, telephone and site visits in order to determine the current use of each property and was later categorized by current use. Each property-s tax appraised value at the time of sale and today was collected from each properties county appraisal district and compared in order to measure changes in value from the re-positioning. Three previous and relevant studies have been conducted prior to this thesis, two by Colliers International and one by Texas A&M University. All three are discussed in detail and incorporated into this thesis. Results show that big boxes in high population density locations found new tenants much faster than those in less dense locations. Rental rates on average fell further for freestanding repositioned big boxes when compared to big boxes that were a part of a multi-tenant property. The properties where the old structure was demolished and a new structure was built had the largest increase in both total tax-assessed value and tax-assessed land value. Properties that still had the same existing structure and remained vacant lost the most tax-appraised value.en_US
dc.description.statementofresponsibilityby Alfonso Barrera-Villarreal.en_US
dc.format.extent59 leaves, [8] leaves of col. platesen_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.subjectCenter for Real Estate. Program in Real Estate Development.en_US
dc.titleHow to best redevelop vacant big box retail property in Texasen_US
dc.typeThesisen_US
dc.description.degreeS.M.in Real Estate Developmenten_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Real Estate
dc.identifier.oclc770705955en_US


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