Authors: Peleg Kremer*, Villanova University
Topics: Spatial Analysis & Modeling, Urban and Regional Planning, Geography and Urban Health
Keywords: Urban, spatial analysis, surface temperature
Session Type: Guided Poster
Start / End Time: 3:05 PM / 4:45 PM
Room: Roosevelt 3.5, Marriott, Exhibition Level
Presentation File: No File Uploaded
The structure of urban landscapes (STURLA) classification was developed as a simple and reproducible approach to urban structure classification that captures common heterogeneous structures in urban landscapes by deriving composite classes of built and natural features based on compositions of adjacent structural elements that emerge in the urban landscape, using a cellular grid to define units of analysis (Hamstead et al., 2016). STRULA approach is proposed as useful for studying the relationship between urban structure and function and prior studies investigated the relationship between STRULA classes and surface temperature in NYC and Berlin (Hamstead et al., 2016, Larondelle et al., 2014). In this study, we continue to develop the STRULA classification by examining the drivers of the relationship between urban structure and surface temperature. In particular, we are interested in understanding the relationship between different building types and surface temperature. We use newly available data in Berlin to capture the influence of inner class composition and neighborhood effects on surface temperature within one composite class that encompasses 35% of the land in Berlin- grass\shrubs, tree, lowrise, midrise, road and bare soil. This analysis allows us to further establish the merit of the STRULA approach and evaluate its underpinning urban structure components. A linear model in constructed describing the influence of individual land cover components within the composite class and in the neighborhood of the class on surface temperature.