International Journal of Advanced and Applied Sciences

Int. j. adv. appl. sci.

EISSN: 2313-3724

Print ISSN: 2313-626X

Volume 4, Issue 8  (August 2017), Pages:  129-132

Title: Prediction of pavement condition based on public perceptions

Author(s):  Mabrouk Touahmia *


Department of Civil Engineering, College of Engineering, University of Hail, Hail, Saudi Arabia

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Accurate prediction of pavement performance is very important for efficient management of road infrastructure. By reducing prediction errors of pavement deterioration, agencies can obtain significant budget savings through timely intervention and accurate planning. The purpose of this research program is to develop a pavement deterioration prediction model based on roadway users’ satisfaction and perceptions. This paper presents the results of a satisfaction survey that was designed and distributed to local residents to assess their perceptions regarding urban roads conditions and their maintenance management. The survey data showed a very moderate level of satisfaction from the participants regarding Hail’s local pavements. These results provide a clear indication that the performance quality of Hail’s local roads are below the satisfactory level and require improvement and a development of a more efficient pavement management system. 

© 2017 The Authors. Published by IASE.

This is an open access article under the CC BY-NC-ND license (

Keywords: Pavement, Deterioration, Maintenance, Public perceptions

Article History: Received 16 April 2017, Received in revised form 9 July 2017, Accepted 16 July 2017

Digital Object Identifier:


Touahmia M (2017). Prediction of pavement condition based on public perceptions. International Journal of Advanced and Applied Sciences, 4(8): 129-132


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