Commercial streets play an essential role in urban public life, and their appearance constitutes an important visual attraction, which can attract people to form high-quality and active public spaces. However, in the traditional design analysis methods, limited by the existing evaluation tools, the key content of visual attractiveness analysis under dynamic conditions has rarely been paying attention to. Given this, this research adopts both objectivity and real-time eye movement perception technology to construct an evaluation method based on dynamic visual attractiveness-through the application of virtual reality technology to construct a virtual scene of a typical commercial street and detect the user's actions in it Eye movement at a time and physiological parameters such as the number of fixation points, fixation duration, and pupil diameter changes.This paper takes the main commercial street in Huanggaihu Town in Hubei Province of China as an example to analyze the visual attraction caused by different design methods.Therefore, from the four aspects of material, shape, line, and vegetation, design suggestions for the reasonable distribution of visual attractiveness in the commercial street space design are proposed to provide useful enlightenment for the vast towns' commercial street space design.
The design of the homestay exposed the problems of single-function layout and poor living experience. Therefore, the purpose of this article is to efficiently grasp the design requirements of the country house and to construct an algorithm for automatically generating the floor plan of the house to improve the design output efficiency. This paper takes the homestays surrounding the Paifang Street scenic spot in Chaozhou, Guangdong Province as an example, crawls the comment data of tourism websites through Python, classifies and constructs a portrait of the living needs of the country homes, analyzes the current pain points and opportunities of the country homes, and generates the subsequent plane personalized Plan the data research work; then combine the preliminary research and field research to put forward the principles of the graphic design of the homestay. The paper proposes a method of the automatic layout of architectural functions based on a generative confrontation network, which can automatically layout the architectural functions of rooms according to the design requirements of different homestays, forming a more complete floor plan.
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