With its unique audiovisual environment, bamboo forest spaces serve as natural sanctuaries for urban residents, offering significant restorative effects by reducing physical and mental stress and alleviating fatigue. This promotes the vigorous development of outdoor recreation activities. To further explore the restorative effects of bamboo forest space on people's audiovisual perceptual aspects. In this study, we conducted field research in the Southern Sichuan Bamboo Sea, collecting audiovisual materials from four types of bamboo forest spaces: pathway type, cultural type, ornamental type, and recreational. These spatial photographs were combined with three types of soundscapes (silent, background, and background + wind-blown bamboo sound). Eye tracking experiments were utilized to investigate the physical and mental restorative effects of these different audiovisual features on college students. The results showed that in the visual aspect, the visual restorative properties of recreational-type and ornamental-type bamboo spaces were better than those of pathway type and cultural-type spaces; in the auditory aspect, the sounds of wind-blown bamboo, flowing water, and chirping birds in the bamboo forest significantly enhanced the subjective restorative properties of the bamboo forest space, reducing the number of fixations and the average pupil diameter. In addition, this paper found that the soundscape guided people's visual attention, with the wind-blown bamboo sound increasing focus on natural elements, and the extensibility of the bamboo forest space was positively correlated with the number of fixations, while fascination was negatively correlated with the average saccade amplitude. These findings provide insights for the optimized design of audiovisual restorative environments in bamboo forest space in the future.

Greenways are important natural environment places in cities, which have a great restorative effect on human physiological and mental health. The restoration effect of urban greenways on the physical and mental health of urban residents is affected by the type of greenway space. In order to reveal the restorative effects of different types of urban waterfront greenway spaces on the human body and explore restorative environmental factors, this paper firstly used the expert survey method to construct an AHP (analytic hierarchy process) model, which yielded three types of criterion-level indicators and eight types of sub-indicators. Second, taking Nanxun Avenue Greenway in Wenjiang District, Chengdu City, Sichuan Province, China, as an example, it was divided into three types of greenway spaces—waterfront space, underwood space, and lawn space—on the basis of field surveys. A total of 30 subjects participated in this outdoor experience and collected their physiological and psychological data. The results of the experiment showed that all three types of spaces in the Nanxun Avenue Greenway had a restorative effect on human physical and mental health, and all of them were effective in lowering blood pressure and heart rate, as well as eliminating negative emotions and increasing positive emotions for most of the participants. The waterfront space had the best restorative effect, followed by the underwood space and the lawn space. The main restorative environmental factors differed among each of the three types of spaces. This paper provides insights and examples for exploring the restorative benefits of urban greenways.

To achieve the transition of rural areas from traditional to modern, the visualization of rural landscape data and feature evaluations are essential. Landscape character assessment (LCA) is a well-established tool that was developed to assess and understand rural landscape features. In recent years, drones have become increasingly attractive for various applications and services due to their low costs and relative ease of operation. Unlike most previous studies that relied solely on drone-based remote sensing or visual esthetic evaluations, this study proposes an innovative assessment method based on landscape characteristic assessment (LCA) and oblique drone photography technology, supported by specific data and survey results. These include various landscape metrics, such as the Shannon diversity index (SHDI), Shannon evenness index (SHEI), vegetation coverage, landscape character zoning, and delineations of various ecologically sensitive areas. This method was applied to study Zhanqi Village in Chengdu, Sichuan Province, China and revealed some unique characteristics of this village. By categorizing and describing the landscape features, the study makes judgments and decisions about them. This is a beneficial attempt to apply the scientific methods of landscape assessments to the production management of aerial drone surveys. This method provides a comprehensive framework for evaluating rural landscape features and demonstrates that the combination of LCA and oblique drone photography technology is feasible for rural landscape research. Additionally, this study emphasizes the need for further research to explore the potential application of this method in continuously evolving urban and rural environments in the future.