  In today's highly urbanized environment, the Urban Heat Island (UHI)
phenomenon is increasingly prevalent where surface temperatures in urbanized
areas are found to be much higher than surrounding rural areas. Excessive
levels of heat stress leads to problems at various levels, ranging from the
individual to the world. At the individual level, UHI could lead to the human
body being unable to cope and break-down in terms of core functions. At the
world level, UHI potentially contributes to global warming and adversely
affects the environment. Using a multi-modal dataset comprising remote sensory
imagery, geo-spatial data and population data, we proposed a framework for
investigating how UHI is affected by a city's urban form characteristics
through the use of statistical modelling. Using Singapore as a case study, we
demonstrate the usefulness of this framework and discuss our main findings in
understanding the effects of UHI and urban form characteristics.
