Max
Yuhan Wu
Email
LinkedIn
My Cat's Instagram Planning + Design

---

Reclaiming Manchester
Highway Removal Strategy Braddock Community Kiosk
Community Design-Build Platform Workers’ Commons
Delivery Drivers Collective Governance ULI Competition
Mixed-Use District Plan Forest Kindergarten
Nature-Inspired Early Learning Data + GIS

---

Pittsburgh Walkability Dashboard
PLanning Decision Tool Street View Observer
LLM Street View Analysis Tool Urban Sentiment
Social Media NLP Analysis Dining Patterns
Local Economy Analytics Transit Equity
Mobility & Demographic Analysis Yellow Cab Flows
Trip Pattern Mining Guangzhou Raster
Remote Sensing ClassificationCommunity Engagement

---

Parks for the People
Participatory Art Project Urban Elephant
Community Engagement Practices

Restaurants in Downtowns of Rust Belt Cities GIS | Python

Independent Project

---

Restaurants are everyday indicators of urban life.

This project uses Yelp data to examine how dining activity reflects downtown recovery, vibrancy, and social patterns in Rust Belt cities.

Through GIS mapping and spatial-temporal analysis, I compared restaurant clusters, review intensity, and seasonal rhythms in Pittsburgh and Cleveland, uncovering how food landscapes signal economic and cultural change.



























Food activity reflects how people inhabit the city.
By mapping daily restaurant engagement over time, this calendar reveals the hidden rhythms of Downtown Pittsburgh—quiet winters, lively summers, and the disruption and recovery following COVID-19.
The heat map turns everyday data into a portrait of urban life.

Patterns observed
• Strong weekend and summer peaks
• Significant drop during 2020 lockdowns
• Gradual recovery after 2022
• Consistent seasonal rhythm tied to weather and events