jaue2021-039: Urban Heatwave Vulnerability Assessment Driven by Synthetic Population

Abstract

Due to global warming, heatwave events have become a major type of climate hazard occurring in big cities. It
is significant to identify vulnerable areas through heatwave vulnerability assessment and propose corresponding
urban design strategies. The sensitive index measurement of heat vulnerable assessment depends on the spatial
distribution information of vulnerable populations. Limited by the spatial resolution of the population census data,
previous studies can only conduct vulnerability assessment of administrative region scale, which can hardly
support urban climate risk management and related urban design practice in a precise way. This project generated
all all individual sample data by introducing the synthetic population method through Iterative Proportional Fitting
algorithm, which was integrated with spatial information through the population data spatialization technique. It
provides a feasible path for generating the spatial data of heatwave vulnerable populations with a fine spatial
scale.