## 1 Introduction
Another method involves using the Rhino + Grasshopper (R + G) platform to operate the Dijkstra shortest path algorithm, genetic algorithm, and other methods, with road selection influencing factors as parameters, to build an automatic route selection model for the scenic roads [15]. The route selection model takes the standard value of the limit plane curve of the scenic spot as the quantitative index, with the goal of achieving low-impact development and low-cost construction of scenic spots. Landscape architecture site selection in mountain landscapes is also a focus of parametric design on the ArcGIS platform. The process of site selection includes (1) analyzing the location and scale control of traditional landscape buildings for mountain and waterfront landscapes and constructing the relationship between the landscape buildings and the surrounding environment [16]. (2) Using Landsat TM remote sensing image data and parametric methods such as Model Builder, based on the interaction law of site-environmental ecological factors and the ecological sensitivity of mountain landscapes as the main goal, to analyze the comprehensive factors of the mountain environment [14]. (3) Forming the coupling association between the service building and site and optimizing the site selection of the service building in scenic spots on the GIS platform [17]. The GIS method is applied to large-scale mountain landscapes, and the R + G method is applied to small-scale ones. The advantage of the R + G method is that the road selection results can be shared with software platforms such as Revit. Compared with mountain landscapes, urban parks lack the complex terrain and ecological diversity. This poses challenges for landscape designers who often make subjective decisions based on experience, leading to low site utilization, green space congestion, inconvenient crowd activities, unresolved evacuation routes, and overcrowding. To address these issues, researchers have proposed analyzing park ecology, function, landscape, and crowd activities and carefully selecting appropriate parameters and rules. By incorporating site characteristics and crowd needs, designers can better understand environmental features and spatial layouts and create parks that cater to visitors' interests and activities [6; 18; 19]. This approach can enhance the utilization of urban parks and maximize their benefits for the community. In terms of urban park planning, the parametric design of small urban parks with a small size and single function is based on the selection of parameters and design rules of the park, such as the function of the park, the needs of the crowd, and the cultural display, and the influence of quantitative indicators such as the distribution of tourists, the time of visiting, the landscape area, the proportion of evergreen leaves of plants, and the greening coverage rate are considered on the R + G platform so as to complete the overall layout of the park [20], which reduce the subjective influence of designers and achieve better practical results. The parametric site selection method of the quiet rest area of the park provides an idea for the site selection of the functional area of the park. The quiet rest area of the park requires a relatively quiet environment, the space is relatively closed, the scenery is beautiful, it is away from the activity area, etc. On the R + G platform, parameterization rules and design models are established based on key influencing factors such as location, terrain, and water body, and a location suitable for quiet rest areas is selected on the park land [9]. The same methodology can be applied when selecting the location of other functional areas such as sports courts, playgrounds, and picnic areas. Each of these areas has specific design requirements that can be parameterized and translated into a selection model [9; 14]. For example, a sports court may require a level surface, good drainage, and nearby parking, while a playground may require a safe surface, shaded areas, and proximity to restrooms.