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ClairCity: Modelling Behaviour in Transport & Domestic Energy Use

ClairCity aims to attribute city air pollution, carbon emissions, and health outcomes to citizens' behaviors and choices, such as travel, shopping, and recreation. This project expands beyond traditional source identification to target policies based on underlying sources of emissions.

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ClairCity: Modelling Behaviour in Transport & Domestic Energy Use

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  1. ClairCity Modelling behaviour in transport & domestic energy use Kris Vanherle (TML) www.claircity.eu @ClairCity This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 689289.

  2. ClairCity context “…source apportionment of city air pollution, carbon emissions and health outcomes, attributing them to citizens’ behaviours, activities and choices (e.g. travel to work, shopping, recreation …) rather than only to source sectors (Transport/Domestic/Industrial) or technologies (e.g. diesel vehicles, coal power plants)…”

  3. ClairCity context “…source apportionmentof city air pollution, carbon emissions and health outcomes, attributing them to citizens’ behaviours, activities and choices (e.g. travel to work, shopping, recreation …) rather than only to source sectors (Transport/Domestic/Industrial) or technologies (e.g. diesel vehicles, coal power plants)…”

  4. Source apportionment • Traditional sense: “technical” sectors: • Freight/passenger transport (sub-sections: car/bus/HGV, fuel type, Euro Standards) • Industry: power generation, chemical, cement,… • Households: fuel types used for heating (gas, electricity, wood, coal,…) • ClairCity “addition”: the underlying reasons for these emissions, to increase understanding and allow for targeted policies

  5. ClairCity context “…source apportionment of city air pollution, carbon emissions and health outcomes, attributing them to citizens’ behaviours, activities and choices (e.g. travel to work, shopping, recreation …) rather than only to source sectors (Transport/Domestic/Industrial) or technologies (e.g. diesel vehicles, coal power plants)…”

  6. Citizens’ behaviour 2 focal points: • (passenger) Transport choices • Domestic energy use

  7. Citizens’ behaviour 2 focal points: • (passenger) transport choices • Domestic energy use

  8. Transport behaviour Passenger activities...

  9. Transport behaviour Passenger activities… …generate trips with different purposes…

  10. Transport behaviour Passenger activities… …generate trips with different purposes… …by different people… Age - gender - income

  11. Transport behaviour Passenger activities… …generate trips with different purposes… …by different people… …with different modes Car – bus – train – bike - walk

  12. Citizens’ behaviour 2 focal points: • (passenger) transport choices • Domestic energy use

  13. Domestic energy use Household activities…

  14. Domestic energy use Household activities… …generateelectricityuse & heatingpatterns…

  15. Domestic energy use Household activities… …generateelectricityuse & heatingpatterns… …using different energy vectors  gas, district heating, oil, solidfuel, wood

  16. Link with emission sources • Transport activity then linked to the actual sources: diesel/petrol/electric cars, buses,… with distinct emission profiles • Domestic energy consumption linked to properties of the energy vector with distinct emission profiles

  17. Conclusion • Expanding beyond traditional identification of sources of local air quality to the underlying sources of emissions • Understand what behaviours are driving the emissions to allow for “targeted” policies

  18. Conclusion To go from…

  19. Conclusion …to:

  20. ClairCity Our future with clean air www.claircity.eu @ClairCity This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 689289.

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