Donghwan Ki

Donghwan Ki studies cities and streets using street-level imagery (like Google Street View) combined with machine learning and AI methods (such as deep learning image segmentation and, more recently, tools like ChatGPT) to measure how walkable, safe, and equitable neighborhoods are. This work connects urban design features to outcomes such as crime patterns, transportation choices, and unequal access to infrastructure across cities. Prospective students would engage with computational, data-driven approaches to urban planning and criminology rather than traditional survey- or policy-based methods.

Publication output has been fairly steady over the last decade with some fluctuation, rising notably around 2021 and continuing at a moderate, consistent pace through 2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026