integrated development

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Energy-efficient neighbourhoods emerge from the integration of everyday destinations that reduce long distance commuting and support shared mobility solutions such as public transit. Effective public transit, however, depends on specific spatial conditions including sufficient urban densities, a mix of land uses, and well designed streetscapes that encourage walking, cycling, and other forms of sustainable mobility.

At co urban, our research focuses on how different neighbourhood typologies either promote or hinder such integrated development. We examine how spatial configuration, density, and land use patterns shape the feasibility of transit oriented development and the lived experience of mobility.

In recent years, we have increasingly applied AI based methods to analyse large volumes of streetscape imagery. These tools allow us to rapidly identify environmental factors such as pavement conditions, parking patterns, crossings, shading, and other micro scale features that influence walkability, comfort, and mobility choices. By combining these AI derived layers with catchment calculations and spatial connectivity measures such as Space Syntax, we are able to evaluate integrated development not only through accessibility metrics but also through the physical and climatic conditions of the street environment. 

Publications are shared as links to official journals and publishers. New publications will be added soon.