A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Challenges in Engineering Estimates for Best Value Design–Build Highway Projects
Traditional design–bid–build guidelines suggest that engineering estimates should be within of the lowest contractor bid and recommend this value as a reference to identify anomalies in the bidding process. This guidance, however, neglects delivery approaches such as design–build (D–B). This research examines 305 D–B highway projects procured using best-value and identifies the underlying reasons for bid dispersion and cost estimates inaccuracies. This study found an average bid dispersion of 27%, suggesting that a larger threshold (i.e., 25%) is needed to account for the inherent variability of D–B projects. This study also found that engineering estimates are on average 2% more than the awarded price. This result contradicts findings in existing literature and suggests that current practice in D–B best-value may be more conservative than other procurement methods. The study explores four potential reasons for bid dispersion and engineering estimate inaccuracies and suggests strategies for improvement. By providing a better understanding of bid dispersion and engineering estimate accuracy, this study will ultimately assist in the development of new policies and processes for D–B best-value projects.
Challenges in Engineering Estimates for Best Value Design–Build Highway Projects
Traditional design–bid–build guidelines suggest that engineering estimates should be within of the lowest contractor bid and recommend this value as a reference to identify anomalies in the bidding process. This guidance, however, neglects delivery approaches such as design–build (D–B). This research examines 305 D–B highway projects procured using best-value and identifies the underlying reasons for bid dispersion and cost estimates inaccuracies. This study found an average bid dispersion of 27%, suggesting that a larger threshold (i.e., 25%) is needed to account for the inherent variability of D–B projects. This study also found that engineering estimates are on average 2% more than the awarded price. This result contradicts findings in existing literature and suggests that current practice in D–B best-value may be more conservative than other procurement methods. The study explores four potential reasons for bid dispersion and engineering estimate inaccuracies and suggests strategies for improvement. By providing a better understanding of bid dispersion and engineering estimate accuracy, this study will ultimately assist in the development of new policies and processes for D–B best-value projects.
Challenges in Engineering Estimates for Best Value Design–Build Highway Projects
Gaikwad, Suraj V. (author) / Calahorra-Jimenez, Maria (author) / Molenaar, Keith R. (author) / Torres-Machi, Cristina (author)
2021-05-07
Article (Journal)
Electronic Resource
Unknown
Implementing Best-Value Procurement for Design—Bid—Build Highway Projects
| British Library Online Contents | 2016