DSpace

King Saud University Repository >
King Saud University >
COLLEGES >
Science Colleges >
College of Engineering >
College of Engineering >

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/16909

Title: Economic analysis of effectiveness of pavement preventive maintenance
Authors: Al-Mansour, Abdullah I
Sinha, C. Kumares
Keywords: Algorithms; Asphalt; Coatings; Costs; Database systems; Economics; Mathematical models; Pavements; Reconstruction (structural); Repair; Sealants
Issue Date: 1994
Publisher: National Research Council, Washington, DC, United States
Citation: Transportation Research Record Issue 1442, October 1994, Pages 31-37
Abstract: Pavement maintenance can be categorized into two main categories: corrective maintenance and preventive maintenance. The current practices of most highway authorities concentrate on the first category, with minor attention given to preventive maintenance. The main reason for this is the shortage of available funds, which directs some decision makers toward putting the limited funds on corrective measures to satisfy road users, leaving nothing, or, at most, negligible portions for preventive maintenance. This situation will continue unless studies show the economic benefits of preventive maintenance. An evaluation of two pavement preventive maintenance techniques, namely, chip seal and sand seal coating, is described. The evaluation process consists of three basic steps. First a data base that included all relevant data on pavement sections was developed. Second a set of models describing pavement deterioration, maintenance costs, and user costs was developed. Finally a comprehensive life cycle analysis was conducted; this included the costs of all items associated with different types and timings of maintenance strategies.
URI: http://hdl.handle.net/123456789/16909
ISSN: 03611981
Appears in Collections:College of Engineering

Files in This Item:

File Description SizeFormat
Eng_Civil_Al-Mansour, A.-1.docx18.86 kBMicrosoft Word XMLView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

DSpace Software Copyright © 2002-2007 MIT and Hewlett-Packard - Feedback