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Validation of methods for adjusting construction cost estimates by project location

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1928/10836

Validation of methods for adjusting construction cost estimates by project location

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dc.contributor.author Martinez, Adam
dc.date.accessioned 2010-06-25T21:13:57Z
dc.date.available 2010-06-25T21:13:57Z
dc.date.issued 2010-06-25T21:13:57Z
dc.date.submitted May 2010
dc.identifier.uri http://hdl.handle.net/1928/10836
dc.description.abstract Location 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.iso en_US en_US
dc.subject Construction Cost Estimation en_US
dc.subject Location Adjustment Factors en_US
dc.subject.lcsh Construction industry--Location--Economic aspects.
dc.subject.lcsh Building--Estimates--Statistical methods.
dc.title Validation of methods for adjusting construction cost estimates by project location en_US
dc.type Thesis en_US
dc.description.degree Master of Construction Management en_US
dc.description.level Masters en_US
dc.description.department University of New Mexico. Dept. of Civil Engineering en_US
dc.description.advisor Migliaccio, Giovanni
dc.description.committee-member Zandbergen, Paul
dc.description.committee-member Rounds, Jerald


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