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Long-Distance Train Allocation — Train Network Optimization

The client lacked detailed origin-destination data segmented by transport mode for trips over 80 km. This made it difficult to adjust train frequency, optimize routes, and plan infrastructure based on real demand.

solutions

  • Seiki analyzed long-distance trips with detailed segmentation by transport mode (train vs. car)
  • Built a comprehensive origin-destination matrix across municipalities, factoring in seasonality and peak hours
  • Delivered an in-depth report with key inter-municipality mobility insights and data-driven recommendations for rail network optimization

value created

  • Clear O/D data by mode for long-distance trips
  • Smarter train allocation and route planning
  • Data-backed rail network optimization

summary

Optimizing long-distance train allocation with detailed origin-destination data.

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