Drainage infrastructure systems and culverts constitute an important portion ofhighway assets that require routine inspections, maintenance, and timely repair and renewal.Variations in structural characteristics (i.e. material type, shape and dimension), environmentalexposure, and wide geospatial distribution of these infrastructure assets accompanied with strictbudget restrictions pose significant challenges for transportation agency officials. Deteriorationmodels constitute one of the most essential components of any infrastructure asset managementstrategy as these models provide insight on the significant factors that affect infrastructurecondition states and expected behavior of infrastructure assets under different conditions. Theobjectives of this paper are to provide a review of previous studies on factors that affect culvertperformance and durability, and culvert asset management; to present current practices oftransportation agencies with regard to management of culverts; and lastly to present developmentof a deterioration model which will allow decision makers to identify significant factors thataffect deterioration of metal culverts and prioritize inspection procedures. The deteriorationmodel presented in this study is developed by employing binary logistic regression with aforward stepwise variable selection method on the data obtained from the Ohio Department ofTransportation.
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