Project
Finding Optimal Vertiport Locations in the Seoul Metropolitan Area
A spatial clustering study that combines GIS-based land-use filtering with weighted demand points from commuting patterns and worker population to site 100 candidate vertiports for urban air mobility across the Seoul metropolitan area.
K-Means clustering with centroid refinement produced the site set (silhouette score ≈ 0.4), delivered as an interactive Folium map and cluster spreadsheets alongside an IEEE-formatted writeup and presentation deck.
A team project that I led as team lead.
- Clustering
- Urban Air Mobility
- Geospatial analysis