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dc.contributor.authorMartinez, Adam
dc.date.accessioned2010-06-25T21:13:57Z
dc.date.available2010-06-25T21:13:57Z
dc.date.issued2010-06-25T21:13:57Z
dc.date.submittedMay 2010
dc.identifier.urihttp://hdl.handle.net/1928/10836
dc.description.abstractLocation factors are used to adjust conceptual cost estimates by project location. Presently, the construction industry has adopted a simple, proximity-based interpolation method which uses the “nearest neighbor” location factor to estimate unknown location factors. Although this approach is widely accepted, its validity has not been statistically substantiated. This study assessed the current method of adjusting conceptual cost estimates by project location. An evaluation of 14 alternative spatial estimation methods was also conducted. These methods were based on different approaches for combining 4 criteria: proximity, state boundary, home value, and income. This study used the 2006 RSMeans city cost index (CCI) dataset to conduct the evaluation. Geographic information systems (GIS) were used to visualize data and conduct spatial-statistical evaluations. The Global Moran’s I test was used to assess proximity-based spatial interpolation, which was implemented in the current method. In addition, comparisons of the current method and alternative methods were statistically assessed. The statistical analysis consisted of box plots, histograms, homogeneity of variance tests (Levene’s Statistic), and equality of sample distribution medians tests (Mann-Whitney). From interpretations of results, it was concluded that the Moran’s I test provided statistical justification for the current method. In addition, an alternative method was statistically proven to outperform the current method. This alternative method was the conditional nearest neighbor (CNN). Moreover, an additional alternative method which incorporated the ranking of proximity, median home values, and state boundaries could potentially outperform the current method as well as the CNN method. Future research is needed to fully substantiate the additional alternative method.en_US
dc.language.isoen_USen_US
dc.subjectConstruction Cost Estimationen_US
dc.subjectLocation Adjustment Factorsen_US
dc.subject.lcshConstruction industry--Location--Economic aspects.
dc.subject.lcshBuilding--Estimates--Statistical methods.
dc.titleValidation of methods for adjusting construction cost estimates by project locationen_US
dc.typeThesisen_US
dc.description.degreeMaster of Construction Managementen_US
dc.description.levelMastersen_US
dc.description.departmentUniversity of New Mexico. Dept. of Civil Engineeringen_US
dc.description.advisorMigliaccio, Giovanni
dc.description.committee-memberZandbergen, Paul
dc.description.committee-memberRounds, Jerald


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