Prediction of Unit Price Bids of Resurfacing Highway Projects through Ensemble Machine Learning-Reference-Cited by-同舟云学术

Prediction of Unit Price Bids of Resurfacing Highway Projects through Ensemble Machine Learning

Published:2018-09 Issue:5 Volume:32 Page:04018043
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Cao Y.¹,Ashuri B.²,Baek M.¹

Affiliation:

1. Ph.D. Student, Economics of the Sustainable Built Environment Laboratory, School of Building Construction, Georgia Institute of Technology, Atlanta, GA 30332-0680.

2. Associate Professor and Brook Byers Institute for Sustainable Systems Fellow, Director, Economics of the Sustainable Built Environment Laboratory, School of Building Construction and School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0680 (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000788

Reference31 articles.

1. ARTBA (American Road and Transportation Builders Association). 2014. “Highways needing resurfacing or reconstruction.” Accessed March 15 2017. http://www.artba.org/Media/PDFs/6.03.2014-_ARTBA_Conditions.pdf.

2. ARTBA (American Road and Transportation Builders Association). 2016. “Fixing America’s surface transportation act: A comprehensive analysis.” Accessed March 15 2017. http://www.artba.org/wp-content/uploads/2014/03/FASTAct_Publication.pdf.

3. Time Series Analysis of ENR Construction Cost Index

4. Ashuri B. and S. M. Shahandashti. 2012. “Quantifying the relationship between construction cost index (CCI) and macroeconomic factors in the United States.” In Proc. 48th ASC Annual Int. Conf. Fort Collins CO:Associated Schools of Construction.

5. Defining Triangular Probability Distributions from Historical Cost Data

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