Forecasting Work Conditions for Road Construction Activities: An Application of Alternative Probability Models

Abstract

Regression analysis is used to obtain three alternative probability models designed to translate observed weather conditions into probabilities for carrying out highway construction activities. The models were developed using generalized least squares, normit analysis, and logit analysis. Such models may aid contract letting agencies in planning payment schedules, penalty clauses, and completion dates for new roads; construction firms may find such models valuable in planning effective use of men and equipment. (Modified author abstract)