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Regression-Based Prioritization And Data Modeling For Customized Civil Engineering Data Collection, Omar Kanaan

Masters Theses

Civil engineers frequently face the challenges of acquiring sufficient data to satisfy the informational needs of various decision making scenarios having time, budget, and resource constraints. This thesis focuses on exploring how statistical analysis of historical data sets can be used to improve the efficiency and effectiveness of future data collection activities in transportation engineering and construction project control. Pearson's correlation, multiple regression, Akaike information criterion, and Bayesian information criterion are applied to two cases of data collection and analysis to understand the relative importance of various parameters within each case. Case I analyzes National Bridge Inventory (NBI) data to …