Abstract：
Greenspaces are crucial for enhancing mental and physical health. Recent research has shifted from static methods of assessing exposure to greenspaces, based on fixed locations, to dynamic approaches that account for individual mobility. These dynamic evaluations utilize advanced technologies like GPS tracking and remote sensing to provide more precise exposure estimates. However, little work has been conducted to compare dynamic and static exposure assessments and the effect of individual mobility on these evaluations. This study delves into how greenspaces around homes and workplaces, along with mobility patterns, affect dynamic greenspace exposure in Hong Kong. Data was collected from 787 participants in four communities in Hong Kong using GPS, portable sensors, and surveys. Using multiple statistical tests, our study revealed significant variations in participants\' daily mobility patterns across socio-demographic and temporal factors. Further, using linear mixed-effects models, we identified complex and statistically significant interactions between participants\' static greenspace exposure and their mobility patterns. Our findings suggest that individual mobility patterns significantly modify the relationship between static and dynamic greenspace exposure and play a critical role in explaining socio-demographic and temporal context differences in the relationship between static and dynamic greenspace exposure.
摘要：
绿地对于增强身心健康至关重要。最近的研究已经从评估绿色空间暴露的静态方法转变为，基于固定的位置，考虑到个人流动性的动态方法。这些动态评估利用GPS跟踪和遥感等先进技术来提供更精确的曝光估计。然而,比较动态和静态暴露评估以及个人流动性对这些评估的影响的工作很少。这项研究深入研究了家庭和工作场所周围的绿地，随着流动模式，影响香港的动态绿地暴露。使用全球定位系统从香港四个社区的787名参与者收集数据，便携式传感器，和调查。使用多个统计检验，我们的研究显示,参与者的日常行动模式在社会人口统计学和时间因素之间存在显著差异.Further,使用线性混合效应模型，我们确定了参与者的静态绿地暴露和他们的流动模式之间的复杂和统计上显著的相互作用。我们的发现表明，个体流动模式显着改变了静态和动态绿地暴露之间的关系，并在解释静态和动态绿地暴露之间的社会人口统计学和时间背景差异方面发挥了关键作用。
