Wang Shiqi, Li Ang
School of Architecture and Design, China University of Mining and Technology, Daxue Road No. 1, Xuzhou City, Jiangsu Province, 221116, China.
Jiangsu Vocational Institute of Architectural Technology, Jiangsu Collaborative Innovation Center for Building Energy Saving and Construct Technology, China.
Heliyon. 2024 Mar 28;10(7):e27925. doi: 10.1016/j.heliyon.2024.e27925. eCollection 2024 Apr 15.
The restorative benefits of urban green spaces (UGSs) have been supported by many studies. Eight perceived sensory dimensions (PSDs) are regarded as a tool to classify green spaces based on perception. However, little attention has been given to the effects of landscape characteristics (LCs) on the perceived restorativeness (PR) of green spaces. Thus, this study aims to clarify this relationship using the eight PSDs. The research collected information, via video stimulus, from 30 participants on the restorative experiences of urban green parks, according to the eight kinds of PSDs. The skin conductance level obtained via biosensors was used to measure the PR. The subjective satisfaction evaluation of 10 LCs was further obtained using a 5-point Likert scale. The data were analyzed using correlation and regression analyses. The results show that the UGSs with dominant "serene," "open," and "sheltered" PSDs are rated highest for restoration. Furthermore, the findings identify the significant factors affecting the restoration of green spaces using different PSDs. In green spaces controlled by PSD, scene, vegetation, water features, and disturbances are more reliable predictors for restoration. The results indicate how different PSD spaces can be distributed in green urban planning and provide key points for designing each PSD for restoration. The use of physiological indexes rather than subjective feelings provides an alternative for demonstrating the restorative benefits of the environment. However, before it can officially be used by designers, more research is needed.
许多研究都证实了城市绿地（UGS）的恢复性效益。八个感知感官维度（PSD）被视为一种基于感知对绿地进行分类的工具。然而，景观特征（LC）对绿地感知恢复性（PR）的影响却很少受到关注。因此，本研究旨在利用这八个PSD来阐明这种关系。该研究通过视频刺激，根据八种PSD收集了30名参与者关于城市绿色公园恢复性体验的信息。通过生物传感器获得的皮肤电导率水平用于测量PR。使用5点李克特量表进一步获得了对10种LC的主观满意度评价。数据采用相关性和回归分析进行分析。结果表明，具有主导性“宁静”“开阔”和“隐蔽性”PSD的UGS恢复性评分最高。此外，研究结果还确定了使用不同PSD影响绿地恢复的重要因素。在由PSD控制的绿地中，场景、植被、水景和干扰是恢复性更强的可靠预测指标。研究结果表明了不同PSD空间在绿色城市规划中的分布方式，并为设计每个用于恢复的PSD提供了关键点。使用生理指标而非主观感受为证明环境的恢复性效益提供了一种替代方法。然而，在设计师正式使用之前，还需要更多的研究。
