Abstract
This paper proposes a Construction Delay Prediction Model (CDPM) related to weather. Extreme weather conditions can have a significant effect on construction weather sensitive activities, and can cause major construction delays. Waste of resources such as labor, material and equipment can also be contributed to the extreme weather conditions. Several research projects address quantifying and predicting construction delay due to extreme weather. Most of these models are dependent on published historical annual weather data for the different locations which might not reflect the actual weather forecast for a particular time and location. The suggested model discussed in this paper uses mathematical formulas to provide a means to monitor and control construction delays associated with adverse weather conditions in real time. The model uses medium term weather forecast (30 day weather forecast) that is available online from local weather stations for predicting construction delays. The model was tested on Martin Luther King Junior Drive SW Atlanta, GA road improvement project. This particular project had a crucial completion date before the Atlanta super bowl games in February 2019. The model provided the project parties with the anticipated delays that helped them to adjust the project activities and the schedule to finish the major construction activities by the scheduled deadline.
Presenters
Hussein AbazaProfessor, Construction Management, Kennesaw State University, United States
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
Construction Delay, Weather, Automation, Scheduling, Mathematical Model
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