| Abstract: | Roadway construction projects are prone to frequent cost overruns and schedule delays. Of numerous factors causing changes in projects, socio-economic conditions have been insufficiently investigated despite their possible impacts on project cost and time. To this end, this project aims at developing novel models that can quantify and visualize impacts of socio-economic conditions surrounding roadway construction work zones on project cost and schedule. We successfully collected a comprehensive set of project, socio-economic, transportation, and weather data and will develop GIS-based models using ArcGIS, statistical tools, and machine learning techniques. We took an active role in analyzing underlying relationships and deriving implications. |