中文摘要：

随着地理信息科学的发展，地理学围绕着社会热点问题不断向其他学科交叉渗透，同时学科的交叉也为地理学研究本身注入了热量。空间一直是地理学研究中的基本问题，而时间与空间密不可分，从时间维度研究人类移动性及其丰富内涵具有重要意义。本文在总结人类移动性热点问题的基础上，重点从时间维度探讨了可达性、出行体验与幸福感、人类健康与疾病等问题的研究内容和方法，并从低收入者社区医疗保健可达性研究和阿帕拉契亚乡村地区吸烟者影响因素研究等案例进行详细阐释，最后对人类移动性与健康研究的发展方向进行了展望。

英文摘要：

With the development of GIScience, geography＇s focus on important social issues intersects with oth- er cognate disciplines, which in retum enhances the vitality of geography itself. It is important to consider the temporal dimension and human mobility in geographic research, since time is closely linked to space, the very basic dimension of geographic studies. Health is one of the most important issues in people＇s daily life, which is closely bound up with space-time behavior. The perspective of activity-mobility system will contribute to the breakthrough of health-related research. Drawing upon recent research on human mobility, this paper reviews re- search and methods of accessibility, travel experience and well-being, and health and disease. GIS broke the con- straints of geometry methods of accessibility research, and scholars developed various methods and aspects of accessibility research, of which the nearest research has taken accessibility to health and healthcare into account. Furthermore, the temporal dimension enriches the connotation of accessibility, considering time as well as space, and pays more attention to the old, the disabled, the low-income, children and women. Well-being and travel experience are one of the hottest topics of human mobility research. Traditional questionnaire survey can help capture travel experience and well-being from both objective and subjective side. Geo-narrative offered a method to get better understanding and visual presentation of travel experience from more detailed, empathizing and reasonable view. Health has been a deep-seated issue, and few researchers have probed into the relationship between health and human mobility. Health-related contextual variables are introduced into health-related mobil- ity research, which presents the environmental elements such as air pollution, water pollution, etc. Coupled with high time-space accurate GPS methods, sampling method for health data collection makes it possible to give in-depth analysis of health-related mobility