基于虚拟现实技术的高校校园生活区种植 场景环境恢复性效益研究

Research on Environmental Restorative Benefits ofPlanting Scenes in College Campus Living QuartersBased on Virtual Reality Technology

关键词:  风景园林  虚拟现实技术  恢复性环境  注意力 恢复理论  压力缓释

Key words:  landscape architecture  virtual reality technology  restorative environment  attention recovery theory  stress reduction

摘要:

中国城镇化的快速发展与城市生活的节奏加快，加 剧了城市居民尤其是长期处于压力下的大学生群体罹患各类心 理健康疾病的风险。当前，高校校园恢复性环境建设研究成为 促进城市公共健康的重要课题。基于注意力恢复理论、压力缓 释理论与拉塞尔情绪模型，在高校校园生活区的情境下，将高 校大学生作为受试人群，运用虚拟现实技术、生理反馈技术和 正交试验方法、主效应分析、箱图分析、最小显著性差异多重 比较分析等统计学方法，通过SPSS 26.0软件探究种植场景 的植被复杂度、种植方式、植被空间对比度3个因子对环境恢 复性效益的感知恢复性、情绪效价与生理应激恢复3个维度的 影响。结果显示，植被复杂度、种植方式、植被空间对比度对 环境恢复性效益均有不同程度的影响。植被复杂度较高、群落 中的植物体型对比度适中、采用分散式种植方式的种植场景具 有最佳的环境恢复性效益。结合虚拟动态三维场景对植物设计 要素的量化和精细化研究具有一定的创新性，为旨在提升高校 校园环境恢复性效益的种植设计提供了参考。

Abstract:

The rapid development of urbanization in China and the accelerated pace of urban life have increased the risk of various mental health disorders among citizens, especially among college students who are under long-term stress. Currently, research on the construction of restorative environments on college campuses has become an important issue in promoting urban public health. Based on the Attention Recovery Theory, Stress Reduction Theory, and Russell's emotion model, this study takes college students as the test population in the context of college campus living area and utilizes virtual reality technology, physiological feedback technology, orthogonal experimental methods, main effects analysis, box plot analysis, and multiple comparison analysis of least significant differences to investigate the environmental restorative benefits of planting scenes. The vegetation complexity, planting mode, and vegetation spatial contrast of the planting scene are used as independent variables, and the three factors of perceived restorative, emotional validity, and physiological stress response, which characterize the environmental restorative benefits, are used as dependent variables. The results suggest that vegetation complexity, planting method, and vegetation spatial contrast radio all have different degrees of influence on environmental restorative benefits. The planting scenarios with higher vegetation complexity, moderate plant volume contrast in the community, and decentralized planting methods provide optimal environmental restorative benefits. This study combines virtual dynamic 3D scenes to quantify and refine plant design elements, which is innovative and provides a reference for planting design aimed at enhancing the restorative benefits of college campus environments.