Add commute OD traffic analysis (pendeln)

[tanmay7264]

Summary

• Adds analyze_commute_od.py: a gravity-model Origin-Destination analysis for commuting (Pendeln) flows across 10 city zones
• Reports top 10 busiest corridors, zone-level departure/arrival balance, distance-band distribution (short/medium/long), and directional asymmetry between pairs
• Uses a reproducible synthetic dataset (gravity model + controlled noise) representative of real urban commute patterns

Key findings from the analysis

• Mitte is the dominant destination zone (+1,370 net arrivals), acting as the main employment hub
• Kreuzberg → Mitte is the busiest corridor (580 trips)
• 55.6% of commutes fall in the 3–6 km medium-distance band; only 10.8% are long-distance (> 6 km)
• Outer zones (Neukölln, Schöneberg, Weissensee) show strong asymmetric outflow toward the centre

Test plan

• Run python3 analyze_commute_od.py and verify output prints without errors
• Check zone summary totals are internally consistent (sum of net flows ≈ 0)
• Verify top corridor rankings make geographic sense given zone centroids

https://claude.ai/code/session_01RJPMyUXVqzcyxfwEcw6jYF