TY - GEN
T1 - An Investigation into the Factors Influencing Construction Schedule Overruns during COVID-19
AU - Adepu, Nikhitha
AU - Kermanshachi, Sharareh
AU - Pamidimukkala, Apurva
AU - Namian, Mostafa
N1 - Publisher Copyright:
© ASCE.
PY - 2024
Y1 - 2024
N2 - The study aimed to identify the key elements that influenced building activities during the COVID-19 pandemic and to explore strategies for addressing these issues in subsequent emergencies. A comprehensive review of the literature was conducted to pinpoint the causes of delays in construction timelines amid the pandemic. Subsequently, a survey was created using these insights and disseminated to industry experts to gather their views on the identified contributing factors. A total of 103 completed responses were received to the questionnaire, and a principal component analysis (PCA) was performed of the responses, followed by the development of a multinomial logistic regression model, using a statistical tool in SPSS. The results of the principal component analysis extracted two components, explaining approximately 68% of the variation data. Factors such as scarcity of labor force, shortage of competent workers, challenges in obtaining required materials, and limited access to heavy machinery were found to be highly influential. It was also found that two new synthesis variables, resource availability and management and coordination and operational challenges, played a critical role in explaining the variations in schedule overruns, and the scale of construction entities was found to be statistically significant in analyzing the factors contributing to schedule overruns. This study provides key findings for decision-makers and project management professionals in the construction sector, by enhancing their understanding of how to effectively manage projects during a pandemic or any similar crisis.
AB - The study aimed to identify the key elements that influenced building activities during the COVID-19 pandemic and to explore strategies for addressing these issues in subsequent emergencies. A comprehensive review of the literature was conducted to pinpoint the causes of delays in construction timelines amid the pandemic. Subsequently, a survey was created using these insights and disseminated to industry experts to gather their views on the identified contributing factors. A total of 103 completed responses were received to the questionnaire, and a principal component analysis (PCA) was performed of the responses, followed by the development of a multinomial logistic regression model, using a statistical tool in SPSS. The results of the principal component analysis extracted two components, explaining approximately 68% of the variation data. Factors such as scarcity of labor force, shortage of competent workers, challenges in obtaining required materials, and limited access to heavy machinery were found to be highly influential. It was also found that two new synthesis variables, resource availability and management and coordination and operational challenges, played a critical role in explaining the variations in schedule overruns, and the scale of construction entities was found to be statistically significant in analyzing the factors contributing to schedule overruns. This study provides key findings for decision-makers and project management professionals in the construction sector, by enhancing their understanding of how to effectively manage projects during a pandemic or any similar crisis.
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U2 - 10.1061/9780784485538.010
DO - 10.1061/9780784485538.010
M3 - Conference contribution
AN - SCOPUS:85197244746
T3 - International Conference on Transportation and Development 2024: Pavements and Infrastructure Systems - Selected Papers from the International Conference on Transportation and Development 2024
SP - 107
EP - 117
BT - International Conference on Transportation and Development 2024
A2 - Wei, Heng
PB - American Society of Civil Engineers (ASCE)
T2 - International Conference on Transportation and Development 2024: Pavements and Infrastructure Systems, ICTD 2024
Y2 - 15 June 2024 through 18 June 2024
ER -