IoT sensors as a tool for assessing spatiotemporal risk to extreme heat

Abstract

The safety of urban populations sensitive to extreme heat is under increasing threat. Few studies examine the potential benefits of deploying IoT environmental sensors in the urban context and their integration with large-scale human activity data. This paper examines the deployment of IoT sensors in high-resolution extreme heat risk assessment in the case of Seoul, South Korea. This study conducted spatiotemporal analysis on heat exposure with IoT sensors, compared it with an existing land surface temperature map for validation, combined it with human activity data for risk assessment, and finally discussed the benefits of IoTs in detecting abnormal weather events. The results show that extreme heat risks and characteristics vary by age group, and socio-demographic nature overlaps with contextual factors concerning climate risk. This paper discussed possible policy implications to better deal with recurring climate hazards using IoT sensors.