Challenges associated with ensuring the accuracy and reliability of cost estimation of highway bid items, especially during the conceptual phase of a project, are of significant interest to state highway agencies. Even with the existing research undertaken on the subject, the problem of inaccurate estimation of highway bid items still exists.
A systematic literature review was performed to determine research trends, identify, categorize the factors influencing highway unit prices, and assess the performance of conceptual cost prediction models.
This research proposes a geographic information system (GIS)?based methodology that leverages vast historical bid data for unit-price estimation and the robust GIS capabilities with consideration of the effects of project-specific location and variations due to cost escalation on different bid items.
A comparison of the three spatial interpolation techniques operationalized in this research revealed that disjunctive and empirical Bayesian kriging models led to more accurate cost prediction than ordinary kriging algorithms.
Identifer | oai:union.ndltd.org:ndsu.edu/oai:library.ndsu.edu:10365/32380 |
Date | January 2021 |
Creators | Awuku, Bright |
Publisher | North Dakota State University |
Source Sets | North Dakota State University |
Detected Language | English |
Type | Thesis |
Format | application/pdf |
Rights | NDSU policy 190.6.2, https://www.ndsu.edu/fileadmin/policy/190.pdf |
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