Urban design & built environment

Walking With and Walking Through: Assessing Urban Design From Streets to Virtual Reality

Bridging critical knowledge and action gaps in urban health: A call for transdisciplinary approaches in urban studies in the era of global population aging and climate change

Running in summer: spatiotemporal associations of thermal exposure, built environment, and age vulnerability

Spatial heterogeneity and nonlinear threshold effects of the subdistrict-level built environment on respiratory infectious disease incidence: evidence from Hangzhou

Generative AI for urban planning: Designing streetscapes from street-view imagery using diffusion models

Inequality in experienced subjective built environment exposure: A capability approach perspective

Assessment of the capacity of active ageing policies in Türkiye to adapt to age-friendly cities

A Review of Rebuilding Urban Complexity: A Configurational Approach to Postindustrial Cities (2024) by Francesca Froy

Assessing the association between street view–derived perceived liveliness and street thefts

Making Complex Environmental Data Accessible Through a Multi‐User Perspective: Learnings From the COUP System

Nested economies of scale in global city mass

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

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

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

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

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

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.