A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Empirical Comparison of Methods for Estimating Location Cost Adjustments Factors
AbstractLocation factors are used to adjust conceptual cost estimates by project location. Presently, the construction industry has adopted a simple, proximity-based interpolation method to estimate location factors for missing locations. 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 and compared its performance against two alternative spatial interpolation methods. A Moran’s I test was used to confirm the presence of strong spatial autocorrelation, which supports the use of proximity-based methods. Additional statistical evaluations of current and alternative methods were also conducted. Results provided statistical justification for the current method. However, an alternative method was proven to outperform the current method. Moreover, several opportunities for future research were identified as a result of this exploratory study.
Empirical Comparison of Methods for Estimating Location Cost Adjustments Factors
AbstractLocation factors are used to adjust conceptual cost estimates by project location. Presently, the construction industry has adopted a simple, proximity-based interpolation method to estimate location factors for missing locations. 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 and compared its performance against two alternative spatial interpolation methods. A Moran’s I test was used to confirm the presence of strong spatial autocorrelation, which supports the use of proximity-based methods. Additional statistical evaluations of current and alternative methods were also conducted. Results provided statistical justification for the current method. However, an alternative method was proven to outperform the current method. Moreover, several opportunities for future research were identified as a result of this exploratory study.
Empirical Comparison of Methods for Estimating Location Cost Adjustments Factors
Migliaccio, G. C (author) / Martinez, A. A / Zandbergen, Paul
2015
Article (Journal)
English
Empirical Assessment of Spatial Prediction Methods for Location Cost-Adjustment Factors
| Online Contents | 2013
Empirical Assessment of Spatial Prediction Methods for Location Cost-Adjustment Factors
| British Library Online Contents | 2013