Predictive Modeling for Transportation Infrastructure Preconstruction Costs
Bibliographic Data
| ID | 12456145 |
|---|---|
| Authors | Donna Hollar (corresponding author), Donna A Hollar (East Carolina University, Greenville, NC, USA), William Rasdorf (0000-0001-7477-0743, North Carolina State University, Raleigh, NC, USA) |
| Year | 2013 |
| Volume | 18 |
| Issue | 4 |
| Pages | 304-321 |
| Publication date | 2013-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Public Works Management & Policy (JOURNAL) |
| Journal identifiers | ISSN: 1087-724X • E-ISSN: 1552-7549 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/1087724x13486631 |
| OpenAlex | W2097545566 |
| Language | EN |
| Citations received | 1 |
| References cited | 17 |
This article presents a model to enable managers to make better decisions regarding infrastructure construction management. The model accurately estimates preliminary engineering (PE) costs (synonymous with Preconstruction Services Costs [PCS]) of bridge infrastructure projects so that state, local, and private transportation departments can know what these activities actually cost and can better plan future budgets. It also enables managers of these public works to quickly identify potentially troublesome projects, thus enabling corrective actions to be initiated early. This article describes a comprehensive study of the factors affecting PE costs, a database containing 2001-2009 bridge project data, and models to estimate PE costs. The findings indicate that bridge projects exhibited a historical mean PE cost ratio of 27.8% of estimated construction costs, significantly more than expected or commonly believed
Bridge (graph theory · Business · Cost estimate · Operations management · Plan (archaeology · Risk analysis (engineering · Transport engineering · Transportation infrastructure · BIM and Construction Integration · Engineering · Infrastructure Maintenance and Monitoring · Underground infrastructure and sustainability
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Effects of Contracting Out Engineering Services Over Time in a State Department of Transportation
A Web-Supported National Bridge Inventory Management Tool
What Factors Affect Management Quality? State Infrastructure Management and the Government Performance Project
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| Citations per year | 0.11 |
|---|---|
| Citation span | 2017 - 2017 (1) |
| Highly cited | No |