Road Landscape Space Enclosure Scale and Sequence Characteristics Based on Human Aesthetic Perception and Psychological Experience

摘要

Road landscape environments are defined in terms of road space, consisting of the pavement and the surrounding boundaries, and the various road landscape elements normally constitute the component parts of road space. The creation and organization of spatial interfaces in road landscape planning not only play an important role in transportation function planning but also create different landscape spatial atmospheres, which largely determine the space perception and psychological experience of the passengers when traveling on the road. The major constituent elements of road spatial interfaces were defined in this paper, and the conception and quantized calculation method of road space enclosure scale was proposed. The spatial characteristics and the different spatial feelings of the road solid interface, void interface, and zero interface were analyzed in detail. The quantitative relationship between space enclosure scale and people's spatial experience was established based on the solid interface of plain, cutting, and filling areas, the void interface of roadside trees, and the zero interface of filling areas and viaducts. The spatial form of road landscape environment was summarized in flat, wave, and climax types according to the arrangement and layout of landscape space sequences, and the spatial sequence characteristics and improvement means for original space were discussed. Taking Guangwu Road in the Guangdong Province in the rolling hill area of South China as the case study, the road space interface enclosure map was drawn, and the road landscape space types were analyzed according to cutting and filling conditions by employing the road design software HintCAD, which provided the primary quantitative reference for road space sequence planning and regional landscape style control to make road landscape planning fully integrated with people's aesthetic psychology and dynamic visual features.