Enhanced cost estimation for ABC bridge project: Data collection, analysis, and integration

Jeon, Hee Jae

Permalink

https://hdl.handle.net/2142/125622 Copy

Description

Title

Enhanced cost estimation for ABC bridge project: Data collection, analysis, and integration

Author(s)

Jeon, Hee Jae

Issue Date

2024-07-16

Director of Research (if dissertation) or Advisor (if thesis)

El-Rayes, Khaled A

Department of Study

Civil & Environmental Eng

Discipline

Civil Engineering

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

M.S.

Degree Level

Thesis

Keyword(s)

Accelerated Bridge Construction, Cost estimation

Abstract

The use of Accelerated Bridge Construction (ABC) methods such as prefabricated elements and lateral slides has been increasingly utilized by state departments of transportation (DOT) to reduce bridge construction time, minimize related traffic disruption, enhance safety, improve quality, and decrease environmental impact. To realize these reported ABC methods benefits, DOT planners need to accurately estimate and compare the cost of alternative bridge construction methods to ensure the selection of the most cost effective method. This presents DOT planners with a major challenge due to the lack of detailed bridge design information that is needed to accurately estimate the construction cost during the early design phase. To support DOT planners in this challenging task, the research objectives of this study focus on (1) conducting a comprehensive literature review on ABC methods, (2) collecting and analyzing a dataset of recently completed ABC projects, and (3) providing insights into the factors affecting cost estimation for ABC bridge projects through statistical and correlation analysis of the collected data. The main contributions of this research include the creation of an extensive dataset from 22 ABC bridge projects and identifying correlations between construction costs and various project variables. Statistical analysis revealed variability in project costs, while correlation analysis highlighted the impact of each factor. The findings of this study are expected to provide a better understanding of critical factors that affect bridge construction cost and enable the development of the predicted models that can be used to accurately estimate and compare the cost of alternative bridge construction methods during the early design phase.

Graduation Semester

2024-08

Type of Resource

Thesis

Handle URL

https://hdl.handle.net/2142/125622

Copyright and License Information

Copyright 2024 Hee Jae Jeon

Owning Collections