Predicting Construction Workforce Demand Using a Combination of Feature Selection and Multivariate Deep-Learning Seq2seq Models-Reference-Cited by-同舟云学术

Predicting Construction Workforce Demand Using a Combination of Feature Selection and Multivariate Deep-Learning Seq2seq Models

Published:2022-12 Issue:12 Volume:148 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Ashtab Milad¹^ORCID,Ryoo Boong Yeol²

Affiliation:

1. Ph.D. Student, Dept. of Construction Science, College of Architecture, Texas A&M Univ., 3137 TAMU, Francis Hall, Room 317, College Station, TX 77843-3137 (corresponding author). ORCID: .

2. Associate Professor, Dept. of Construction Science, College of Architecture, Texas A&M Univ., 3137 TAMU, Francis Hall, Room 317, College Station, TX 77843-3137.

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0002414

Reference83 articles.

1. Forecasting the supply of construction skills in the UK

2. AGC (Associated General Contractors of America). 2018. “Eighty percent of contractors report difficulty finding qualified craft workers to hire as association calls for measures to rebuild workforce.” Accessed April 4 2021. https://www.agc.org/news/2018/08/29/eighty-percent-contractors-report-difficulty-finding-qualified-craft-workers-hire.

3. AGC (Associated General Contractors of America). 2020. “Forty percent of construction firms report layoffs amid widespread project cancellations as economic impact of coronavirus grows.” Accessed April 4 2021. https://www.agc.org/news/2020/04/10/forty-percent-construction-firms-report-layoffs-amid-widespread-project.

4. Macro-economic leading indicators of construction contract prices

5. Models of UK private sector quarterly construction demand

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