RUSSIAN METEOROLOGY AND HYDROLOGY, cilt.50, sa.10, ss.894-909, 2025 (SCI-Expanded, Scopus)
Abstract— Rising global temperatures from
climate change have increased the risk of heat-related illnesses and deaths in
urban areas. It is crucial to reduce heat stress impacts and enhance thermal
comfort by applying practical urban transformation principles. At the same
time, urban transformation has become more important due to increasing concerns
about the risk of earthquakes in Istanbul. This study aims to develop scenario
models to improve thermal comfort in different urban layouts. In this context,
the Solar and LongWave Environmental Irradiance Geometry (SOLWEIG) model was
used to simulate Mean Radiant Temperature (Tmrt) using Light
Detection and Ranging (LiDAR) data. Three urban geometry scenarios were
developed depending on several factors, including Sky Visibility Factors (SVFs),
Shadow Pattern Maps (SMs), building Height, Plan Area Index (PAI),
vegetation cover, and canyon width. The results indicate that the second
scenario, which includes a more convenient layout, taller buildings, and more
green space, is the most effective in improving thermal comfort in building
redesign. This research provides a valuable perspective toward more sustainable
and thermally comfortable environments, supporting urban transformation
efforts.
Keywords: LiDAR, urban
transformation, scenario model, solweig analysis