One Rule to Bring Them All: Investigating Transport Connectivity in Public Transport Route Generation for Equitable Access

• URL: http://arxiv.org/abs/2602.15053v1
• Date: Wed, 11 Feb 2026 15:19:33 GMT
• Title: One Rule to Bring Them All: Investigating Transport Connectivity in Public Transport Route Generation for Equitable Access
• Authors: Aleksandr Morozov, Ruslan Kozliak, Georgii Kontsevik, Sergey Mityagin,
• Abstract summary: We investigate whether AI-based optimization hybrid neuroevolutionary methods combining graph neural networks with evolutionary algorithms can scale Transit Network Design Problem (TNDP) solutions.<n>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.
• Score: 39.146761527401424
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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