How to Place Vertiport Locations in Any City Using Geospatial Machine Learning

A reproducible pipeline uses population rasters, road and transit accessibility scoring, and hard exclusion rules (airports, military zones, water/wetland) to propose vertiport locations, first applied to Lagos and then rerun unmodified on Nairobi. The walkthrough shows that population density alone produces unsafe sites, demonstrates weighted K-means clustering in a metric CRS, adds post-clustering safety checks for centroids and merged sites, and determines that 25 sites meet a chosen coverage target for Lagos versus the initially tested 100. Limitations are stated explicitly: exclusion buffers are illustrative rather than verified airspace, distances are straight-line not routed travel time, and no flood-risk layer was available for Lagos.

Source: https://towardsdatascience.com/how-to-place-vertiport-locations-in-any-city-using-geospatial-machine-learning. 8 Sync News only summarizes and links out; content copyright belongs to the authors and original sources.