Abstract
This paper empirically analyses the relationship between urban form and Urban Heat Island (UHI) in a dataset of 523 European cities that matches remotely sensed land-use and surface temperature data. A UHI anomaly is defined as an uninterrupted streak of days where the temperature differential measured at 12.00 AM between the city core and its surroundings is higher than a given threshold. From this definition, three UHI indicators are obtained: mean intensity, mean duration of the event and occurrence rate. We study the influence of urban morphology on the UHI indictors with a Heckman model. A sample selection bias is detected for mean intensity and mean duration. The estimation results also show
that some urban morphological features have a mitigating effect, while some others play a role at the adaptation level.
Original language | English |
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Pages (from-to) | 1-19 |
Number of pages | 19 |
Journal | Journal of Environmental Planning and Management |
DOIs | |
Publication status | Published - 2022 |
Keywords
- climate change adaptation
- land use
- remote sensing
- sample selection
- urban form
- urban heat island
- urban planning