| dc.contributor.author | Awuku, Bright | |
| dc.description.abstract | 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. | en_US |
| dc.publisher | North Dakota State University | en_US |
| dc.rights | NDSU policy 190.6.2 | en_US |
| dc.title | Conceptual Cost Estimation of Highway Bid Items Using Geostatistical Interpolation | en_US |
| dc.type | Thesis | en_US |
| dc.date.accessioned | 2022-05-18T16:18:22Z | |
| dc.date.available | 2022-05-18T16:18:22Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | https://hdl.handle.net/10365/32380 | |
| dc.subject | conceptual | en_US |
| dc.subject | cost estimation | en_US |
| dc.subject | geostatistical modeling | en_US |
| dc.subject | highway | en_US |
| dc.subject | unit prices | en_US |
| dc.rights.uri | https://www.ndsu.edu/fileadmin/policy/190.pdf | en_US |
| ndsu.degree | Master of Science (MS) | en_US |
| ndsu.college | Engineering | en_US |
| ndsu.department | Construction Management and Engineering | en_US |
| ndsu.advisor | Asa, Eric | |
