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Abstract

The coronavirus disease 2019 (COVID-19) pandemic has brought unprecedented impacts (e.g., labor shortage, suspension and cancellation of projects, and disrupted supply and logistics) on the US construction industry. To address challenges caused by the pandemic, it is critical for the construction industry to develop a clear understanding of how the pandemic has affected the industry and how it will change in the future. However, assessing the impacts of COVID-19 on the construction industry is challenging due to the broad influence of the pandemic and the dynamic nature of the industry. The Purdue Index for Construction (Pi-C), which was developed as an indicator based on five dimensions and corresponding metrics to measure the health status of the construction industry, offers an opportunity to understand the impact of the pandemic. In this context, this paper presents a study to reveal the relationship between COVID-19 and the health status of the industry as measured through Pi-C and predict the future trend of the construction industry. This study achieves the objective via the three steps. First, the relationship between the pandemic and Pi-C metrics is identified using the Granger causality test and structural equation modeling (SEM) analysis. Second, multivariable prediction models are developed based on a long short-term memory (LSTM) network—a deep learning algorithm—to predict Pi-C metrics in the future. Third, forecasted Pi-C metrics are integrated into the existing Pi-C structure to analyze the impacts of the COVID-19 pandemic and predict its trends in 2021–2022. The results revealed that the impacts of the pandemic were conspicuous in two Pi-C dimensions (economy and stability), whereas no significant impacts were observed in the remaining Pi-C dimension (social). In addition, the Pi-C forecasted that there would be no significant adverse impacts on the US construction industry caused by the pandemic until the end of 2022.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are available from the corresponding author by request.

References

Abbasimehr, H., M. Shabani, and M. Yousefi. 2020. “An optimized model using LSTM network for demand forecasting.” Comput. Ind. Eng. 143 (May): 106435. https://doi.org/10.1016/j.cie.2020.106435.
Abraham, G. L. 2003. “Critical success factors for the construction industry.” In Proc., Construction Research Congress, 1–9. Reston, VA: ASCE.
AGC (Associated General Contractors of America). 2020a. “Coronavirus has caused significant construction project delays and cancellations, yet demand for skilled labor is high, new survey finds.” Accessed February 22, 2021. https://www.agc.org/news/2020/09/02/coronavirus-has-caused-significant-construction-project-delays-and-cancellations-y-0.
AGC (Associated General Contractors of America). 2020b. “More contractors report canceled projects than starts, survey finds; construction employment declined in most metros in latest 12 months.” Accessed February 22, 2021. https://www.agc.org/news/2020/10/28/more-contractors-report-canceled-projects-starts-survey-finds-construction-0.
Alsharef, A., S. Banerjee, S. M. J. Uddin, A. Albert, and E. Jaselskis. 2021. “Early impacts of the COVID-19 pandemic on the United States construction industry.” Int. J. Environ. Res. Public Health 18 (4): 1559. https://doi.org/10.3390/ijerph18041559.
Anysz, H. 2021. “Long short-term memory (LSTM) neural networks in predicting fair price level in the road construction industry.” IOP Conf. Ser.: Mater. Sci. Eng. 1015 (1): 012060. https://doi.org/10.1088/1757-899X/1015/1/012060.
Ashraf, B. N. 2020. “Economic impact of government interventions during the COVID-19 pandemic: International evidence from financial markets.” J. Behav. Exp. Finance 27 (Sep): 100371. https://doi.org/10.1016/j.jbef.2020.100371.
Assaad, R., and I. H. El-adaway. 2021. “Guidelines for responding to COVID-19 pandemic: Best practices, impacts, and future research directions.” J. Manage. Eng. 37 (3): 06021001. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000906.
BEA (US Bureau of Economic Analysis). 2021. “Real GDP by industry.” Accessed January 21, 2021. https://apps.bea.gov/iTable/iTable.cfm?reqid=150&step=2&isuri=1&categories=gdpxind.
Bhattacharyya, A., S. Yoon, T. J. Weidner, and M. Hastak. 2021. “Purdue index for construction analytics: Prediction and forecasting model development.” J. Manage. Eng. 37 (5): 04021052. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000944.
BLS (US Bureau of Labor Statistics). 2021a. “Employment, hours, and earnings from the current employment statistics survey (national).” Accessed March 22, 2021. https://beta.bls.gov/dataViewer/view/timeseries/CES2000000011.
BLS (US Bureau of Labor Statistics). 2021b. “Job openings and labor turnover survey news release.” Accessed March 20, 2021. https://www.bls.gov/news.release/archives/jolts_06092020.htm.
BLS (US Bureau of Labor Statistics). 2021c. “Unemployed persons by industry and class of worker, not seasonally adjusted.” Accessed February 22, 2021. https://www.bls.gov/webapps/legacy/cpsatab14.htm.
Boulmaiz, T., M. Guermoui, and H. Boutaghane. 2020. “Impact of training data size on the LSTM performances for rainfall–runoff modeling.” Model. Earth Syst. Environ. 6 (4): 2153–2164. https://doi.org/10.1007/s40808-020-00830-w.
Bousquin, J. 2021. “5 charts that summarize a year of COVID-19 in construction.” ConstructionDive. Accessed June 30, 2021. https://www.constructiondive.com/news/5-charts-that-summarize-a-year-of-covid-19-in-construction/596675/.
CDC (Centers for Disease Control and Prevention). 2021. “United States COVID-19 cases and deaths by state over time.” Accessed January 18, 2021. https://data.cdc.gov/Case-Surveillance/United-States-COVID-19-Cases-and-Deaths-by-State-o/9mfq-cb36.
Courtemanche, C., J. Garuccio, A. Le, J. Pinkston, and A. Yelowitz. 2020. “Strong social distancing measures in the United States reduced the COVID-19 growth rate.” Health Aff. 39 (7): 1237–1246. https://doi.org/10.1377/hlthaff.2020.00608.
Cutler, D. 2020. “How will COVID-19 affect the health care economy?” JAMA 323 (22): 2237–2238. https://doi.org/10.1001/jama.2020.7308.
Dong, J., Y. Chen, and G. Guan. 2020. “Cost index predictions for construction engineering based on LSTM neural networks.” Adv. Civ. Eng. 2020 (Sep): 1–14. https://doi.org/10.1155/2020/6518147.
EIA (US Energy Information Administration). 2021. “Electricity consumption by commercial sector (monthly).” Accessed January 20, 2021. https://www.eia.gov/electricity/data/browser/.
Garg, B., and K. P. Prabheesh. 2021. “The nexus between the exchange rates and interest rates: Evidence from BRIICS economies during the COVID-19 pandemic.” Stud. Econ. Finance 38 (2): 469–486. https://doi.org/10.1108/SEF-09-2020-0387.
Gherghina, Ş. C., D. Ş. Armeanu, and C. C. Joldeş. 2020. “Stock market reactions to COVID-19 pandemic outbreak: Quantitative evidence from ARDL bounds tests and Granger causality analysis.” Int. J. Environ. Res. Public Health 17 (18): 6729. https://doi.org/10.3390/ijerph17186729.
Granger, C. W. J. 1969. “Investigating causal relations by econometric models and cross-spectral methods.” Econometrica 37 (3): 424–438. https://doi.org/10.2307/1912791.
Granger, C. W. J., P. Newbold, and J. Econom. 1974. “Spurious regressions in econometrics.” In A companion of theoretical econometrics, edited by B. H. Baltagi, 557–561. New York: Wiley.
Hartnett, K. P., A. Kite-Powell, J. DeVies, M. A. Coletta, T. K. Boehmer, J. Adjemian, and A. V. Gundlapalli. 2020. “Impact of the COVID-19 pandemic on emergency department visits—United States, January 1, 2019–May 30, 2020.” Morbidity Mortality Weekly Rep. 69 (23): 699–704. https://doi.org/10.15585/mmwr.mm6923e1.
Hochreiter, S., and J. Schmidhuber. 1997. “Long short-term memory.” Neural Comput. 9 (8): 1735–1780. https://doi.org/10.1162/neco.1997.9.8.1735.
Holshue, M. L., et al. 2020. “First case of 2019 novel coronavirus in the United States.” N. Engl. J. Med. 382 (10): 929–936. https://doi.org/10.1056/NEJMoa2001191.
Hong, J. 2021. Risk management in response to COVID-19: Comparative case study. San Luis Obispo, CA: California Polytechnic State Univ.
Hou, D., and Z. Chen. 2021. “Research on the application of Fama-French 5-factor model in the steel industry during COVID-19.” J. Phys. Conf. Ser. 1865 (4): 042104. https://doi.org/10.1088/1742-6596/1865/4/042104.
Hoyle, R. H. 1995. Structural equation modeling: Concepts, issues, and applications. Thousand Oaks, CA: SAGE.
IMF (International Monetary Fund). 2020. “The great lockdown: Worst economic downturn since the great depression.” Accessed March 29, 2021. https://blogs.imf.org/2020/04/14/the-great-lockdown-worst-economic-downturn-since-the-great-depression/.
Jang, Y., I.-B. Jeong, Y. K. Cho, and Y. Ahn. 2019. “Business failure prediction with LSTM RNN in the construction industry.” In Proc., Computing in Civil Engineering 2019, 114–121. Reston, VA: ASCE.
Jeon, J., S. Padhye, S. Yoon, H. Cai, and M. Hastak. 2021. “Identification of metrics for the Purdue index for construction using latent dirichlet allocation.” J. Manage. Eng. 37 (6): 04021067. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000968.
Kendall Jones. 2020. “Should all construction be essential during the coronavirus pandemic?” ConstructConnect. Accessed March 24, 2021. https://www.constructconnect.com/blog/should-all-construction-be-essential-during-the-coronavirus-pandemic.
KPMG (Klynveld Peat Marwick Goerdeler). 2020. “COVID-19 risks for construction owners.” Accessed April 1, 2021. https://advisory.kpmg.us/content/dam/advisory/en/pdfs/2020/risks-for-construction-owners-new.pdf.
Lewis, C. D. 1982. Industrial and business forecasting methods: A practical guide to exponential smoothing and curve fitting. Oxford, UK: Butterworth-Heinemann.
Li, J. 2017. “Assessing the accuracy of predictive models for numerical data: Not r nor r2, why not? Then what?” PLoS One 12 (8): e0183250. https://doi.org/10.1371/journal.pone.0183250.
Li, Y., Z. Zhu, D. Kong, H. Han, and Y. Zhao. 2019. “EA-LSTM: Evolutionary attention-based LSTM for time series prediction.” Knowl.-Based Syst. 181 (Oct): 104785. https://doi.org/10.1016/j.knosys.2019.05.028.
Liu, N., L. Li, B. Hao, L. Yang, T. Hu, T. Xue, and S. Wang. 2019. “Modeling and simulation of robot inverse dynamics using LSTM-based deep learning algorithm for smart cities and factories.” IEEE Access 7 (Dec): 173989–173998. https://doi.org/10.1109/ACCESS.2019.2957019.
Long, H., A. Van Dam, A. Fowers, and L. Shapiro. 2020. The COVID recession is the most unequal in modern US history. Washington, DC: Opportunity America.
Marwala, T. 2015. Causality, correlation and artificial intelligence for rational decision making. Singapore: World Scientific.
Naderpajouh, N., A. Boppana, and M. Hastak. 2012. “The need for indices to assess the health of the construction industry.” In Proc., Construction Research Congress 2012, 1510–1519. Reston, VA: ASCE.
Naderpajouh, N., J. Choi, and M. Hastak. 2016a. “Exploratory framework for application of analytics in the construction industry.” J. Manage. Eng. 32 (2): 04015047. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000409.
Naderpajouh, N., J. Choi, and M. Hastak. 2016b. “State of the art of construction analytics.” In Proc., Construction Research Congress 2016, 970–979. Reston, VA: ASCE.
NBER (National Bureau of Economic Research). 2008. “Business cycle dating committee announcement.” Accessed March 29, 2021. https://www.nber.org/news/business-cycle-dating-committee-announcement-january-7-2008.
Newey, W. K., and K. D. West. 1994. “Automatic lag selection in covariance matrix estimation.” Rev. Econ. Stud. 61 (4): 631–653. https://doi.org/10.2307/2297912.
OECD (Organisation for Economic Co-operation and Development). 2021. “Industrial production.” Accessed March 22, 2021. https://data.oecd.org/industry/industrial-production.htm.
Phillips, P. C. B., and P. Perron. 1988. “Testing for a unit root in time series regression.” Biometrika 75 (2): 335–346. https://doi.org/10.1093/biomet/75.2.335.
Purdue CEM (Purdue University Division of Construction Engineering and Management). 2021. “Purdue index for construction (Pi-C).” Accessed June 19, 2021. https://cem.ecn.purdue.edu/pi-c/main.php.
Ruan, G., D. Wu, X. Zheng, H. Zhong, C. Kang, M. A. Dahleh, S. Sivaranjani, and L. Xie. 2020. “A cross-domain approach to analyzing the short-run impact of COVID-19 on the US electricity sector.” Joule 4 (11): 2322–2337. https://doi.org/10.1016/j.joule.2020.08.017.
Sharif, A., C. Aloui, and L. Yarovaya. 2020. “COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach.” Int. Rev. Financ. Anal. 70 (Jul): 101496. https://doi.org/10.1016/j.irfa.2020.101496.
Suneson, G. 2020. “Industries hit hardest by coronavirus in the US include retail, transportation, and travel.” USA Today. Accessed July 11, 2021. https://www.usatoday.com/story/money/2020/03/20/us-industries-being-devastated-by-the-coronavirus-travel-hotels-food/111431804/.
Swanek, T. 2020. “New study finds commercial construction facing shortages due to COVID.” US Chamber of Commerce. Accessed February 22, 2021. https://www.uschamber.com/series/above-the-fold/new-study-finds-commercial-construction-facing-shortages-due-covid.
Tomarken, A. J., and N. G. Waller. 2005. “Structural equation modeling: Strengths, limitations, and misconceptions.” Annu. Rev. Clin. Psychol. 1 (Apr): 31–65. https://doi.org/10.1146/annurev.clinpsy.1.102803.144239.
Ullman, J. B., and P. M. Bentler. 2003. “Structural equation modeling.” In Handbook of psychology, 607–634. New York: Wiley.
US Census Bureau. 2021. “Monthly wholesale trade.” Accessed March 22, 2021. https://www.census.gov/wholesale/index.html.
Verikios, G. 2020. “The dynamic effects of infectious disease outbreaks: The case of pandemic influenza and human coronavirus.” Socio-Econ. Plann. Sci. 71 (Sep): 100898. https://doi.org/10.1016/j.seps.2020.100898.
Wang, D., J. Fan, H. Fu, and B. Zhang. 2018. “Research on optimization of big data construction engineering quality management based on RNN-LSTM.” Complexity 2018 (Jul): 1–16. https://doi.org/10.1155/2018/9691868.
Wang, Q., and M. Su. 2020. “A preliminary assessment of the impact of COVID-19 on environment—A case study of China.” Sci. Total Environ. 728 (Aug): 138915. https://doi.org/10.1016/j.scitotenv.2020.138915.
Yoon, S., J. Jeon, H. Cai, and M. Hastak. 2021. “Verification and validation framework for purdue index for construction.” J. Manage. Eng. 37 (1): 04020090. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000850.
Yu, C., X. Qi, H. Ma, X. He, C. Wang, and Y. Zhao. 2020. “LLR: Learning rates by LSTM for training neural networks.” Neurocomputing 394 (Jun): 41–50. https://doi.org/10.1016/j.neucom.2020.01.106.

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Go to Journal of Management in Engineering
Journal of Management in Engineering
Volume 38Issue 1January 2022

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Received: Apr 27, 2021
Accepted: Sep 21, 2021
Published online: Oct 11, 2021
Published in print: Jan 1, 2022
Discussion open until: Mar 11, 2022

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Ph.D. Candidate, Lyles School of Civil Engineering, Purdue Univ., 550 Stadium Mall Dr., West Lafayette, IN 47907. ORCID: https://orcid.org/0000-0001-6816-0092. Email: [email protected]
Master’s Candidate, Lyles School of Civil Engineering, Purdue Univ., 550 Stadium Mall Dr., West Lafayette, IN 47907. ORCID: https://orcid.org/0000-0003-1164-9289. Email: [email protected]
Ph.D. Candidate, Lyles School of Civil Engineering, Purdue Univ., 550 Stadium Mall Dr., West Lafayette, IN 47907. ORCID: https://orcid.org/0000-0001-6698-3511. Email: [email protected]
Professor, Lyles School of Civil Engineering, Purdue Univ., 550 Stadium Mall Dr., West Lafayette, IN 47907 (corresponding author). ORCID: https://orcid.org/0000-0003-4527-1974. Email: [email protected]
Makarand Hastak, M.ASCE [email protected]
Professor, Lyles School of Civil Engineering, Purdue Univ., 550 Stadium Mall Dr., West Lafayette, IN 47907. Email: [email protected]

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