YUANYUAN YUKI CAO
PSOA25’ Post-Professional
RISD23’ BArch + BFA



ART

01 Crystalized Planes
02 The Livings
03 Upon Fingertips

ARCHITECTURE

01 Communal Housing for Martina Bustos
02 The Growing Slits
03 Flip Library
04 Atomic Apartment in Vacant Office
05 Futuristic Campus
06 Reinventing Four-sided Courtyard
07 Sea-salt Harvesting Factory
08 Time to Come Home!

FABRICATION

01 Amorphous Brick
02 Systems of Enclosures
03 Vaulting Walls

TECHNOLOGY & URBANISM

01 A City-walker’s Manual For Elderly
02 Re-imagining Tang Dynasty
03 Play!

Information
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A City-walker’s Manual For ElderlyYear: 2022
Instructor: Han Tu
Team: Yuanyuan Cao, Hanzhi Fang
Tool: Rhino, Arch GIS, Yolo V4
Role: 100% Data Analysis, 70% Machine Learning,
100% Urban Renewal Design

With the demographic changes in society, the trend towards an ageing population has gradually emerged. The social problems associated with it are also of great concern. Due to age, the older population has deteriorated physically and their cognitive abilities are not as good as those of the younger population. Despite their strong desire to get out and about, the roads in most Chinese cities are not well adapted to the aging population, making it difficult for the elderly to find their way around. This project is based on Kevin Lynch’s urban imagery theory, and uses machine learning to discover the factors that make older people feel lost on urban roads from the perspective of older people on foot and propose improvements.

©YUANYUAN YUKI CAO
yc0361@princeton.edu
PSOA25’POST-PROFFESIONAL/RISD23’BARCH+BFA
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