JKR Malaysia manages the periodic maintenance of the 15,000 kilometres of Federal road network by using a pavement management system called PAMS. PAMS (Pavement Appraisal and Management Suite) is a derivative of HDM-III. However, the high cost of data collection has created problems for JKR in sustaining the use of PAMS to provide value-for-money from investing in the road network. A full consideration of data requirements was therefore seen as essential as data collection costs dominate the implementation of pavement management systems. This paper examines the pavement data collection strategy employed by JKR Malaysia, which aims to optimise the limited data collection budget by concentrating data collection efforts on needy sections. Experiences related to the effectiveness of lower cost manual riding surveys, the deployment of more expensive mechanical surveys and the tiering of data to allow flexibility in the specification of data collection requirements for lower cost roads are presented. Recommendations are then made as to how to optimise resources when faced with resource constraints. (a)
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