arXiv · 2602.15053
One Rule to Bring Them All: Investigating Transport Connectivity in Public Transport Route Generation for Equitable Access
Abstract
Designing a city-wide public transport network poses a dual challenge: achieving computational efficiency while ensuring spatial equity for different population groups. We investigate whether AI-based optimization hybrid neuroevolutionary methods combining graph neural networks with evolutionary algorithms - can scale Transit Network Design Problem (TNDP) solutions from synthetic tests to real urban networks while preserving social fairness. Our contribution is to introduce a transport connectivity-aware accessibility metric that bases optimization on principles of equitable accessibility rather than traditional trade-offs between passenger and operator costs. The results show a noticeable improvement in network resilience by improving algebraic connectivity on synthetic datasets, and highlight the ambiguity of applying network generation to real data.
Explore related subjects
Keep this discovery
Aleksandr Morozov, Ruslan Kozliak, Georgii Kontsevik, Sergey Mityagin. 2026-02-11. One Rule to Bring Them All: Investigating Transport Connectivity in Public Transport Route Generation for Equitable Access. https://arxiv.org/abs/2602.15053
Cite the original work for its findings. Save a collection to share your selection of sources.