Urban form typologies in Seoul since 1960: A framework for block-level classification and their changing prevalence over time
Environment and Planning B · Environment and Planning B: Urban Analytics and City Science
Environment and Planning B
UK · Website ↗
Generative AI for urban planning: Designing streetscapes from street-view imagery using diffusion models
Environment and Planning B · Environment and Planning B: Urban Analytics and City Science
What defines the linear city? Examining accessibility premises with novel flow-based linearity indices
Environment and Planning B · Environment and Planning B: Urban Analytics and City Science
Assessing the association between street view–derived perceived liveliness and street thefts
Environment and Planning B · Environment and Planning B: Urban Analytics and City Science
A national dataset of downtown business district boundaries for pre-automobile U.S. cities and towns
Environment and Planning B · Environment and Planning B: Urban Analytics and City Science
Carbon emission and health impacts of remote working: A case study of the Helsinki capital region
Environment and Planning B · Environment and Planning B: Urban Analytics and City Science
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)
Environment and Planning B · Environment and Planning B 53(2): 263–283
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.