Urban green spaces (UGS) improve living conditions in cities by mitigating the Urban Heat Island effect. While the cooling effect of UGS seems unequivocal, the relationship between the types of UGS and types of residential areas has not yet been well explored. In this study, we systematically analysed the cooling effect of 71 UGS in Prague, a central European city, on residential areas within 400 m of the UGS. The UGS are classified according to their spatial characteristics (size, shape, and tree density), and the residential areas according to three Local Climate Zones (LCZ 2, 5, 6) typical for European cities. The cooling effect is evaluated using a regression model of the Land Surface Temperature (LST) in residential zones according to the LCZ type and distance from the various UGS. The results show that compact UGS of 10–25 ha with dense trees have the most pronounced cooling effect. This type of UGS was associated with a mean decrease in LST within 400 m of 2.3 °C compared to the least effective UGS type (long with sparse trees) across LCZs. The results of the presented study can be applied in urban planning and urban design to improve microclimates in cities.

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Despite the efforts of developed countries to protect undeveloped land, development continues to expand beyond urban boundaries. High-quality land needed for food production is often consumed. This study aims to verify possible causes of undeveloped land and high-quality land consumption within regions (NUTS3) using a new approach to building growth monitoring. It investigates residential (RBs) and commercial buildings (retail and industrial buildings, RIBs). The development between 2006 and 2016 in the Czech Republic, a country in Central Europe, is used as a case study. Population growth and gross domestic product per capita (GDP) within regions are considered two potential causes of land consumption; this hypothesis is verified using a linear regression model. Only GDP showed statistically significant results. It correlated negatively with RBs and RBs + RIBs built on undeveloped land and positively with RBs + RIBs and either RBs or RIBs built on high-quality land. Based on the results, we recommend that land protection policies be differentiated according to regional specifics to be more effective. Regions with lower GDPs should obtain more support in protecting undeveloped land against residential development. The protection of high-quality land should be emphasized by supporting residential and commercial development on brownfield sites in regions with higher GDPs.

An understanding of the complex contributions of several factors to an urban heat island is crucial for the assessment of the impacts of planning on the thermal conditions within cities. This paper investigates the effects of various factors on the land surface temperature (LST) in three zones of Prague, the capital of the Czech Republic. The investigated factors include the normalized difference vegetation index (NDVI), proximity to lakes larger than 1000 m2 (Lakes), proximity to the river (River), building coverage (BC), and building height (BH). Their interrelationships are explored in a square grid of 30 × 30 m using Landsat-8 data on LST measurements and multiple regression models. The results imply that NDVI significantly reduces LST, followed by the River if within 200 m of it, while the effect of Lakes is negligible. The effect of BH is generally low, though it often also reduces the LST in the outer compact city. BC is a predominant factor in the city, generating a warming effect, which increases with the city’s compactness. The main planning implications are to base urban heat island mitigation strategies on compensating for building coverage with live and dense green bodies in the compact city, promoting vertical development.