Data-Driven Insights on the Knowledge Gaps of Conceptual Cost Estimation Modeling-Reference-Cited by-同舟云学术

Data-Driven Insights on the Knowledge Gaps of Conceptual Cost Estimation Modeling

Published:2021-02 Issue:2 Volume:147 Page:04020165
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

He Xi¹,Liu Rui²^ORCID,Anumba Chimay J.³

Affiliation:

1. Ph.D. Student, M. E. Rinker, Sr. School of Construction Management, College of Design, Construction and Planning, Univ. of Florida, Gainesville, FL 32611-5703.

2. Assistant Professor, M. E. Rinker, Sr. School of Construction Management, College of Design, Construction and Planning, Univ. of Florida, Gainesville, FL 32611-5703 (corresponding author). ORCID: .

3. Professor and Dean of the College of Design, Construction and Planning, Univ. of Florida, Gainesville, FL 32611-5703.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0001963

Reference97 articles.

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

4. The attribute impact concept: Applications in case-based reasoning and parametric cost estimation

5. The accuracy of pre‐tender building cost estimates in Australia

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