## 1 Introduction  
With the rapid development of artificial intelligence, unmanned aerial vehicles (UAVs) have gradually come into the public's view. Their low costs and high mobility make UAVs have great development potential in many fields [1]. At the same time, with the advent of the Internet era, online shopping has become more popular, and the demand for logistics distribution is also growing. However, due to the scattered destinations of logistics transportation, the door-to-door distribution mode consumes many resources at the end of the transportation chain. Therefore, it is urgent to explore the potential of low-altitude airspace and improve \"last-mile\" cargo transportation [2]. Based on the development status of logistics UAVs, there are certain difficulties in infrastructure construction and operation management of logistics UAV door-to-door distribution. Therefore, this paper proposes a UAV air-ground cooperative transport mode. Parcel-receiving stations are set up in the demand-intensive area so that UAVs can transport goods between the distribution warehouse and the parcel-receiving stations, while customers can receive and send goods at the parcel-receiving stations. In addition, public air routes need to be planned between warehouses and stations to ensure the safety and efficiency of logistics UAV transportation. To sum up, the main research contents of this paper can be summarized as two points. One is the parcel-receiving station location problem on the land side, and the other is the public air-route planning problem on the air side. The location method of the UAV parcel-receiving station can refer to the relevant research on UAV vertical airport (vertiport) locations. The main factors to be considered for vertiport locations include the construction cost [3; 4], the coverage area [5], the storage capacity [6], and a special airspace environment with low-altitude transport characteristics [7; 8]. However, the object of the above research is medium and large vertiports, which is different from the parcel-receiving station function studied in this paper. Similar research can also refer to the layout system of ground logistics facilities. [PERSON] et al. [9] studied the location of logistics pickup points, aiming to maximize the economic benefits of the transportation network, which is similar to the research scenario in this paper. There are also many types of research on the location problem of logistics pickup points, mainly considering the walking distance for customers to pick up goods, the coverage area of pickup points, etc. [10; 11; 12]. For UAV air-route planning, scholars in various countries mostly focus on the UAV path-planning field. [PERSON] et al. [13] emphasized that route creation is the core step of UAV task allocation and took the shortest time, minimum distance, minimum risk, etc., as the optimization goals of the UAV air route. Traditional methods to solve the problem of route planning mainly include fast search random tree [14], the artificial potential field method [15], genetic algorithms [16], ant colony algorithms [17], and the A* algorithm [18; 19; 20], among which the A* algorithm has an excellent route-planning ability in known environments. From the perspective of overall air-route configuration, Nanyang University of Technology [21] proposed three low-altitude route structures based on the urban layout, namely air matrix, over buildings, and over roads, and discussed the operation effects of three route configurations. Although there have been some excellent research results in UAV vertiport location and public air-route planning, these studies are separated from each other and are two relatively independent research fields. Parcel-receiving stations and public air routes are both the basic guarantee facilities for UAV operation, and their layout should interact and influence each other.