Jing He

Rural built environments foster a connection with nature and offer significant restorative benefits. Thus, understanding the healing potential of various landscape types is crucial for optimizing rural built environments. However, existing research has insufficiently addressed rural built environments, rarely considering their impact on public mental health. To fill this knowledge gap, we conducted a photography-based experimental study, utilizing an electroencephalogram (EEG) and the Restorative Components Scale (RCS) to report the effects of three types of rural built environments on individual physiological and psychological activities. The results indicate that: (1) rural built environments exhibit significant psychological health restoration benefits; (2) different types of rural built environments elicit varying physiological responses and psychological states; (3) settlement landscapes provide the highest healing potential, followed by road landscapes, with engineered landscapes showing relatively weaker restorative effects. These findings support the perspective in environmental psychology that natural and well-designed rural built environments can effectively enhance restoration. Furthermore, this study provides an empirical foundation for future urban and rural planning and design, highlighting the importance of rural built environments in improving residents' mental health and well-being.

Rural landscapes are acknowledged for their potential to restore human health due to natural characteristics. However, modern rural development has degraded these environments, thereby diminishing the restorative potential of rural landscapes. Few studies have systematically analyzed the impact of naturalness, landscape types, and landscape elements on restorativeness using both subjective and objective measurements. This study investigated the restorative effects of various rural landscapes in Guangzhou, employing electroencephalography and eye-tracking technologies to record physiological responses and using the Restorative Components Scale and the Perceived Restorativeness and Naturalness Scale to evaluate psychological responses. The results indicated the following: (1) There was a significant positive correlation between perceived naturalness and restorativeness, surpassing the impact of actual naturalness. (2) Different landscape types had varying impacts on restorativeness at the same level of perceived naturalness. Natural forest landscapes, artificial forest landscapes, and settlement landscapes exhibited the most substantial restorative effects among the natural, semi-natural, and artificial landscapes examined, respectively. (3) Restorative properties varied across landscape elements: trees and water significantly enhanced restorativeness, whereas constructed elements reduced it. Findings from this study can provide support for policymakers to make informed decisions regarding the selection and arrangement of rural landscape types and elements to enhance mental health and well-being.

Rural landscapes are acknowledged for their potential to restore human health due to their natural characteristics. However, few studies have systematically analysed the impact of naturalness, landscape types, and combinations of landscape elements on restorativeness using both subjective and objective measurements. This study investigated the restorative effects of various rural landscapes in Guangzhou, employing electroencephalography and eye-tracking technologies to record physiological responses and using the Restorative Components Scale and the Perceived Restorativeness and Naturalness Scale to evaluate psychological responses. The results indicated the following: (1) There was a significant positive correlation between perceived naturalness and restorativeness, surpassing the impact of actual naturalness. (2) Different landscape types had a varying impact on mental health at the equal perceived naturalness. Natural forest landscapes and artificial forest landscapes exhibited the most substantial restorative effects among the natural and semi-natural landscapes examined, respectively, while settlement landscapes showed the highest restorative potential among the artificial landscapes. (3) Restorative properties varied across landscape elements, with identical elements yielding different benefits in different environments. Trees and water significantly enhanced restorativeness, whereas constructed elements such as roads and infrastructure reduced it. This study provides a scientific basis for restorative rural landscape design to enhance mental health and well-being.