In the recent years, GPS and GIS have been increasingly used in health
research as they can be used to measure individuals’ movement and environmental
exposure. Community mobility is an important aspect of the function and the
environmental interaction of an individual. Indicators of community mobility,
including important places visited and the number of trips made, can be extracted from
raw GPS trajectory data using a trip detection algorithm with GIS. Those indicators of
community mobility were used to monitor how stroke patients return to community and
how they respond to rehabilitation treatments. GPS-based spatial footprints integrated
with geospatial data such as air pollution, food access, and land use in a Geographical
Information System (GIS) environment can help understand the environmental contexts
of health behavior.
Keywords: Activity space, Big data, Community mobility, Daily mobility,
Environmental exposure, Exposure assessment, GPS trajectory data, Geospatial
health, Geographic Information Systems (GIS), Geospatial medicine, Health GIS,
mHealth, Spatial data mining, Staypoint detection, Trip detection.