Authors: Xiaojiang Li*, Temple University
Topics: Spatial Analysis & Modeling, Geography and Urban Health, Temporal GIS
Keywords: GPS trajectories, heat exposure, urban modeling
Session Type: Virtual Paper
Start / End Time: 9:35 AM / 10:50 AM
Room: Virtual 33
Presentation File: No File Uploaded
Extreme heat exposure becomes an increasing threat to human health in cities in the context of global warming and urban heat island. It is important to study human outdoor heat exposure in cities under the contexts of global warming and urban heat island effects. Traditionally, ambient temperature from bio-meteorological measurements at fixed sites and remote sensing-based land surface temperatures are widely used to represent the potential human heat stress level at different scales. However, the land surface temperature cannot fully indicate the actual human heat exposure and the field measurements usually miss the spatio-temporal variations of the urban thermal environment. This study analyzed the personal heat exposure among different age-gender groups in Boston area using mean radiant temperature (Tmrt) and anonymous GPS trajectories. The meteorological data and high-resolution 3D urban model generated from multispectral remotely sensed images and LiDAR data were used to calculate the spatio-temporal distribution of Tmrt at a fine level in the Boston area. The anonymous human GPS trajectory data collected from a fitness App was used to map the spatio-temporal distribution of human outdoor fitness activities and overlaid on the generated spatio-temporal map of Tmrt to estimate personal heat exposure. This study would provide a better understanding of how the different age-gender groups of people are exposed to heat, which would shed new light on building climate resilience and heat exposure-related public health research.