This chapter delves into the rural road network problem using a multi-objective approach. Traditional single-objective strategies are replaced by Pareto-optimality, allowing decision-makers (DMs) to choose preferred solutions aligned with local contexts and plans. The study introduces a framework minimizing operation costs while maximizing population coverage under budget constraints. Employing a non-interactive method, the approach identifies nodes that cover communities and facilities, creating a basic road network to enhance access with limited resources. Tested on rural networks in Lamjung and Gorkha, Nepal, the models proved practical and effective, particularly for developing regions, addressing connectivity challenges with realistic and adaptable methodologies.