EffDist V2026
A global gridded effective-distance dataset built on WorldPop population grids and GHS-SMOD settlement layers. Co-authored with Dr. Elizaveta Gonchar.
The dataset uses Brockmann-Helbing-style effective distance (shortest-network-path through a probability-weighted flow graph) instead of geographic great-circle distance. Outputs are global ~2° grid cells with pairwise effective-distance matrices at country, regional, and urban-rural levels.
Headed for Zenodo on publication. The companion paper (Helfrich-Gonchar, in preparation) applies the metric to bilateral economic exposure under sanctions and migration shocks.