Advanced Air Mobility (AAM) is defined as the transportation of goods and humans via aerial vehicles (AVs) for both urban and rural air mobility. For a safe and seamless operation of AVs, an ultra-reliable and low-latency communication (URLLC) service for their command and control link is desired. Combined Airspace and Non-Terrestrial Networks (ASN) have the potential to enable remote piloting for AAM to meet the stringent URLLC reliability and latency requirements of an AV. We propose to utilize multi-connectivity paths through direct-Air-To-ground communication (DA2GC), relaying AV s via air-To-Air communication (A2A), high altitude platform (HAP), and LEO satellites. We formulate an optimization problem for multi-connectivity path selection with their respective resource block (RB) allocation under limited resource constraints. The problem is solved by decomposing it into two sub-problems of multi-connectivity path selection and RB allocation. An efficient RB allocation scheme is proposed to allocate the limited RB resources of each path to the best AV s using the Knapsack al-gorithm. Next, we perform multi-connectivity selection to reduce the total cost by preferring the available low-cost paths while meeting the reliability requirements. Simulation results reveal that the proposed scheme can reduce up to 28 % of total cost by considering the differentiated cost for path selection as compared to the cost-Agnostic resource allocation.