Performance-Based Pavement Maintenance Planning for Budget-Efficient Road Asset Management: A PCI–BOQ Comparison for Baghdad–Abu Ghraib Highway Corridor

Roads are the arteries of a modern society, carrying the daily flow of people and goods, yet they are constantly under attack. Sun, rain, and the relentless weight of tires slowly break down the asphalt, creating cracks, potholes, and uneven surfaces. For the agencies responsible for these networks, the challenge is not just fixing the damage, but deciding where to fix it and how much to spend. In many parts of the world, including Iraq, the traditional way of planning these repairs relies on a standard list of work items and fixed quantities, often applied uniformly across long stretches of highway. This method, known as a Bill of Quantities, assumes that every section of road needs the same level of attention, regardless of whether one part is barely showing wear while another is falling apart. This approach can lead to a wasteful cycle of spending money on roads that do not need it, while neglecting those that are in desperate need.

To solve this, engineers have developed a more precise way of looking at the problem, centered on a single number called the Pavement Condition Index. This index acts like a health score for a road, calculated by surveying the specific types of damage present, such as the size and depth of cracks or the extent of potholes. A high score means the road is in good shape, while a low score indicates severe distress. When this score is paired with powerful computer software and mapping tools, it allows planners to see exactly which sections need major reconstruction and which only need simple, inexpensive care. This shift from a one-size-fits-all strategy to a condition-based approach promises to stretch limited budgets much further, ensuring that every dollar spent actually extends the life of the road.

A team of researchers applied this modern framework to a critical stretch of Highway No. 9 in Iraq, a 15.4-kilometer corridor connecting Baghdad to Abu Ghraib. Their goal was to test whether a plan built on detailed condition data could save money compared to the traditional method used by local authorities. The researchers began by breaking the highway into manageable segments and conducting a thorough visual survey. They walked the road, identifying and measuring every crack, rut, and patch of damage. This raw data was then fed into a specialized software program designed to calculate the Pavement Condition Index for each segment. The results revealed a landscape of stark contrasts: some sections of the highway were in excellent condition, scoring high on the index, while others were in a state of failure, with scores so low they signaled an urgent need for reconstruction.

Armed with these scores, the team created a maintenance plan that treated each segment according to its actual needs. For the sections with low scores, they prescribed heavy interventions, such as milling away the old surface and laying down a fresh layer of asphalt. For the sections that were still in fair or good condition, they selected much lighter treatments, such as sealing cracks or applying a thin protective coating. This targeted strategy stood in sharp contrast to the conventional Bill of Quantities approach, which would have likely applied the same heavy rehabilitation treatment to the entire corridor, regardless of the varying conditions. The researchers then calculated the cost of their condition-based plan and compared it directly to the cost estimate generated by the traditional method.

The results of this comparison were striking. The traditional Bill of Quantities approach estimated the cost of maintaining the corridor at 17.2 United States dollars per square meter. In contrast, the condition-based plan, which avoided unnecessary heavy repairs on roads that were still functioning well, brought the estimated cost down to 13.6 dollars per square meter. This difference represented a saving of approximately 21 percent, a significant reduction for a public infrastructure project. The analysis showed that the traditional method was effectively over-treating sections of the road that did not need it, wasting resources that could have been used elsewhere. By focusing the heavy spending only where the pavement was truly broken, the researchers demonstrated that a smarter allocation of funds could achieve the same level of service for less money.

Beyond the immediate cost savings, the study highlighted a powerful statistical relationship between the health of the road and the cost to fix it. The researchers found a strong, clear link: as the condition score of a road segment dropped, the cost to maintain it rose sharply. This inverse relationship confirmed that the condition index is a reliable predictor of future expenses. The data showed that the condition of the pavement could explain more than 70 percent of the variation in maintenance costs, proving that knowing the state of the road is the most critical factor in budgeting for its care. This insight allows agencies to look at a map of their network, see the scores, and immediately understand where their money is most urgently needed.

To make these findings actionable, the researchers integrated their data into a geographic information system, which created a visual map of the highway corridor. This map color-coded the road segments based on their condition scores, making it instantly clear which areas required major rehabilitation and which only needed routine monitoring. This visual tool transforms complex data into an intuitive guide for decision-makers, allowing them to prioritize interventions and communicate needs clearly to the public and funding bodies. The study concluded that combining the Pavement Condition Index with advanced software and mapping technology provides a robust framework for managing road assets. It offers a path forward for highway agencies, particularly those with tight budgets, to move away from reactive, uniform repairs and toward a proactive, efficient system that preserves infrastructure for the long term.