Integrating Synthetic Populations and Activity Chains for Individual Emission Assessment in SUMO
summary
Reproducible workflow couples Eqasim→MATSim→SUMO pipeline to turn department‑level synthetic populations into network‑executable SUMO plans, anchoring activities to POIs and GTFS and mapping fleet to HBEFA4 classes; 97% conversion success yields ~16,952 plans and 7,952 simulated car users. Emissions allocate 100% to drivers and 50% to passengers, producing 82.9 t CO2 (4.89 kg/person/day) vs a 4.78 kg/day reference. Results show strong heterogeneity: top 20% produce 50% of CO2, driven by longer daily distances and diesel vehicle overrepresentation.
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chapters (13)
- 0:00Introduction
- 1:53Synthetic populations demographics
- 3:00French administrative scope
- 4:24Generating activity chains
- 5:30Data filtering for SUMO
- 6:57MATSim to SUMO conversion
- 8:50Public transport in SUMO
- 9:35Individual CO2 emissions
- 12:28Emissions heterogeneity
- 14:41Emissions comparison
- 17:12Model limitations
- 18:36Future improvements
- 19:42Summary