Dynamic real-time individual green space exposure indices and the relationship with static green space exposure indices: A study in Shenzhen

Abstract

Many studies have demonstrated the importance of green spaces in promoting human physical and mental health. However, traditional static green space assessment and planning methods with core indicators, such as green space ratio, cannot effectively assess an individual’s level of green space exposure. This study explores a method to calculate dynamic real-time green space exposure indices, such as total green space exposure level, green space exposure per unit time, and green space exposure per unit distance, and analyzes their relationship with static green space exposure indices measured using green space accessibility, availability, and visibility. A field study in a central business district in Shenzhen revealed that people whose workplaces had high levels of static green space exposure maintained relatively high levels of dynamic green space exposure. In addition, dynamic green space exposure was influenced by individuals’ green space usage behaviors and travel time preferences. This study built an interactive analysis framework for dynamic and static green space exposure based on individual behaviour.