Learning Urban Access Costs from Origin-Destination Flows via Inverse Optimal Transport

In three linesResearchers use inverse optimal transport to estimate urban access costs from origin-destination flows. Applied to school choice in Philippines: 283,016 learner trips analyzed via entropic transport models (distance-banded + neural cost). Recovers latent decision costs to optimize subsidy allocation and urban service planning.

Summary generated by Claude — human-verified