Rural and urban networks have been rapidly expanding over time, so, there is a rising demand for more optimum maintenance policies (MPs). The low traffic weights on the urban network of a residential city makes the appearance and density of load-associated distresses rare. This encourages the city’s transportation agency to depend on limited treatments choices and the judgement of the agency engineers in managing maintenance and rehabilitation (M&R) activities. The engineers’ judgement reflects their extensive field experience and it is used usually
in this type of cities rather than generating optimal computerised solutions. The present study proposes two alternative MPs which are more objective than the policy which depends on engineers’ judgement. One of the proposed alternative policies allows one M&R action along the planning horizon and the other one allows multiple M&R. The optimum analysis showed that the preventive treatment is the optimal action for more than 50% of the network segments, which means it plays a vital and nonnegligible role in improving the effectiveness of the M&R activities. Moreover, the sensitivity of the generated M&R plans to the initial performance of the pavement, traffic volume, and the objectives weights are investigated to determine the optimal time, suitable action, maintenance need, and optimal objective weights. The sensitive analysis showed that varying objectives weights leads to different optimal and rational solutions and the most costeffective solution is not achieved at equal weights for objectives.