2026-09-21T22:46:30Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/125622 2025-02-06 col_2142_5131 col_2142_14770 com_2142_5130 com_2142_3518 com_2142_234

application/pdf en text Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms The student, Hee Jae Jeon, accepted the attached license on 2024-07-11 at 21:51. The student, Hee Jae Jeon, submitted this Thesis for approval on 2024-07-11 at 21:56. This Thesis was approved for publication on 2024-07-16 at 15:43. DSpace SAF Submission Ingestion Package generated from Vireo submission #21082 on 2025-02-04 at 21:05:11 Enhanced cost estimation for ABC bridge project: Data collection, analysis, and integration Jeon, Hee Jae 2024-07-16 El-Rayes, Khaled A Accelerated Bridge Construction Cost Estimation eng 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. 2024-08 Thesis https://hdl.handle.net/2142/125622 Copyright 2024 Hee Jae Jeon Civil & Environmental Eng Civil Engineering University of Illinois at Urbana-Champaign M.S. Thesis