城市生活方式导致的健康问题日渐突出。近年来肥胖、心血管疾病等慢性病已成为城市居民的头号杀手。居民体力活动与健康生活方式的引导，需要剖析建成环境影响个体体力活动的实时和累积健康效应的复杂机制。以深圳市为例，本研究从居民时空间行为出发，利用活动日志数据和可穿戴医用传感器技术收集个体从事各类活动的实时连续生理指标数据，刻画居民体力活动时空间制约模式，对体力活动的实时和累积健康效应进行监测和评估，再结合空间分析与统计方法探讨建成环境-时空间体力活动-实时累积健康效应三者之间的关系。本研究着重于对体力活动实时和累积健康效应的分析，以及建成环境与个体属性交互作用下体力活动的时空间制约模式，从时空间行为视角为体力活动效益最大化提供个体行为指导和规划政策建议。

Urban lifestyles have caused increasing health problems. To promote healthy lifestyles, including promoting physical activity (PA), it is important to thoroughly understand the complex mechanism in which urban built environment influences individual health by influencing their PA. However, current studies on urban geography have paid more attention to certain types of PA such as leisure PA and transport PA. Without a momentary and continuous measurement of daily PA, it is hard to estimate the accumulative health outcomes, not to mention promoting healthy lifestyles. Taking Shenzhen as an example, this project aims to fill this research gap by combining time geographic approaches and the technology of wearable medical sensors. First, it collects spatial-temporal paths of individuals to investigate the spatial-temporal constraints of daily PA. Wearable medical sensors are applied to estimate the instant health impacts of particular PA. Then, structure equation models were applied to understand the multiple mechanisms that urban built environment influence individual PA and thus the momentary and accumulative health outcomes. Based on these mechanisms, this project aims to implicate current urban planning and design by optimizing both individual daily lifestyles and multi-scale built environment so as to achieve a better health outcome.