Land Use & Urban Form

Extending Urban Thermal Signal Downscaling Across Europe

Regulating thermal comfort via 2D and 3D urban morphology heterogeneity: Evidence from Beijing's local climate zones

Affordable housing vs. unaffordable location: A national investigation on the impacts of urban sprawl on housing, transportation and energy affordability in the United States

Exploring the interplay of sustainability and cultural values in urban design: Analyzing contemporary landscapes through machine learning (ML) insights modeling

Investigating the Links Between Air Pollution, Arnona Property Taxation and Housing Prices: A Hedonic Analysis of the Haifa Housing Market

Toward evidence-based zoning: A machine learning framework for land use compatibility assessment

Human–AI Co-Production: Normative Challenges in Public Space Design

Vitality-oriented urban forms are associated with poorer indoor window views in Hong Kong

Exploring the nonlinear impacts of the intra-urban built environment on carbon emissions using an interpretable ensemble machine learning framework

Does Where We Live Influence Life Satisfaction? Exploring Different Territorial Contexts in Murcia

Navigating the multifunctional transition of peri-urban agriculture: The role of adaptive governance in Guangzhou, China

Resisting gentrification: Density of belonging in strangled kampung of BSD City, Indonesia

Suburban Development and City Extensions

A Multicriteria Framework for Evaluating Urban Morphology and Spatial Quality Using Landscape Units and Fuzzy-DEMATEL: Evidence from Maringá, Brazil

Winning the double war: Urbicide, informality, and reconstruction in Syrian cities after 2011

The Virtual Embodied Experience: Virtual Reality as a Medium for Computing, Analysing, and Representing the Cityscape

Global patterns of urban heat shaped by climate and morphology

Separates the heat-island contribution of background climate from that of surrounding urban form across 2,213 cities and projects how each will change.

Large-scale measurement of street interface transparency based on street view data and deep learning: A study of first-tier cities in China (Beijing, Shanghai, and Guangzhou)

Proposes a method to measure how transparent street-level building frontages are, at scale, using open street view images and deep learning in three Chinese megacities.