Purdue Index for Construction Analytics: Prediction and Forecasting Model Development-Reference-Cited by-同舟云学术

Purdue Index for Construction Analytics: Prediction and Forecasting Model Development

Published:2021-09 Issue:5 Volume:37 Page:04021052
ISSN:0742-597X
Container-title:Journal of Management in Engineering
language:en
Short-container-title:J. Manage. Eng.

Author:

Bhattacharyya Arkaprabha¹^ORCID,Yoon Soojin²,Weidner Theodore J.³^ORCID,Hastak Makarand⁴

Affiliation:

1. Graduate Student, Lyles School of Civil Engineering, Purdue Univ., 550 Stadium Mall Dr., West Lafayette, IN 47907-2051. ORCID: .

2. Assistant Professor, Construction Engineering Technology, Oklahoma State Univ., 511 Engineering North, Stillwater, OK 74078 (corresponding author).

3. Associate Professor, Division of Construction Engineering and Management, Purdue Univ., 550 Stadium Mall Dr., West Lafayette, IN 47907-2051. ORCID: .

4. Professor and Head, Division of Construction Engineering and Management, Purdue Univ., 550 Stadium Mall Dr., West Lafayette, IN 47907.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management Science and Operations Research,Strategy and Management,General Engineering,Industrial relations

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29ME.1943-5479.0000944

Reference53 articles.

1. ABC (Associated Builders and Contractors). 2019. “Construction backlog indicator definition and methodology.” Accessed August 31 2020. http://www.abc.org/Portals/1/Documents/CBI/CBIMethodology1.pdf.

2. Ahiaga-Dagbui D. and S. D. Smith. 2012. “Neural networks for modelling the final target cost of water projects.” In Proc. 28th Annual ARCOM Conf. edited by S. D. Smith 307–316. Edinburgh UK: Association of Researchers in Construction Management.

3. Time Series Analysis of ENR Construction Cost Index

4. BEA (Bureau of Economic Analysis). 2018. “Gross output by industry.” Accessed December 28 2018. http://www.bea.gov/industry/gdpbyind_data.htm.

5. Characterizing the Key Predictors of Renewable Energy Penetration for Sustainable and Resilient Communities

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