Rule Sets for Identifying Conditional Attributes of Campus Green Spaces with Enhanced Mental Restoration Effect

Abstract

The effect of creating green spaces on improving the mental well-being of university students has received increasing attention. Although previous studies have contributed some valuable discussions on what characteristics of green spaces a campus should provide, few have sought to explore the causal effects between conditional attributes of campus green spaces and mental restoration. To fill this gap, this study aimed to explore the causal rule sets for identifying conditional attributes of campus green spaces with enhanced mental restoration effects from a comprehensive perspective by using the fuzzy Delphi technique (FDT) and rough set analysis (RSA). As a result, 12 criteria were obtained by using FDT, and 6 key combination scenes that can cause different degrees of mental restoration were obtained by using RSA. This study not only contributes to the academic research of healthy campus green spaces but also provides new insights into the role of planning and maintaining campus green spaces.