Evaluating the benefits of promoting intermodality and active modes in urban transport …

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Microsimulation of a Mons‑style radial network uses a gravitational-like OD model and SUMO tools (import via netgenerate, routing with DUAROUTER and one‑shot calibration) to simulate 10,000 vehicles and peak hours. Scenario results: 30% of trips <5 km, modal shift to walking + bus cuts congestion and CO2 by ~30%, combining bike+bus yields ~35% congestion fall, adding protected cycle paths raises benefits to ~45% and cuts fuel use ≈33% and PMx ≈20%; average travel time drops from ~8 to 5.6 minutes.

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" chapters (15)

1. 0:00Intermodality and active modes
2. 1:30Urban transport needs alternatives
3. 3:17Micro simulation study objectives
4. 4:25Building micro simulation model
5. 6:10Traffic equilibrium and congestion
6. 7:59Urban network import/modify
7. 8:41Demand and transport modes
8. 10:13Simulating trips and routes
9. 11:38Calibrating emissions and congestion
10. 12:45Scenario: walking and intermodality
11. 14:55Scenario: biking with public transport
12. 16:27Bike-sharing integration demo
13. 18:36Cycle paths for safety
14. 20:26Results: congestion and emissions
15. 20:50Future research and policy