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Component 4: Good practices and transfer

Objectives and content

CITEAIR II is addressing the good practices Mobility Indicator, Emission Inventories integrating greenhouse gases and Urban air quality forecast. In order to develop, test and verify concepts and approaches this Component deals with these aspects in detail. The main objectives of Component 4 are to:

  • develop, test and verify and get practical experiences on the Mobility indicator, Emission inventories and urban air quality forecast through pilot applications in cities
  • transfer the good practices to eight European cities an regions

Component 4 is closely linked with the "sister Component". There, the good practices are identified and this is the place where the intense interaction with stakeholder takes place. In Component 4 the work is more vertically organised. This means the above-mentioned good practices will be further developed, tested and implemented. The experiences gained by these pilot implementations will be fed back to Component 3. To facilitate this a structured process of exchange, networking and interaction with stakeholder inside- and outside the project is established.

The good practice on the Mobility Indicator aims at defining a sustainable traffic/congestion indicator to describe the traffic situation and the impact on the environment in urban areas. Benchmarking initiatives comparing traffic management and congestion are growing. The Green Paper on mobility recommends a "labelling"scheme to recognise the efforts of cities to combat congestion and reduce the environmental burden. Different evaluation methods are being used hence it would be important to compare the cities with each other by a unique indicator.

 

The good practice on Emission Inventories will address a methodology to prepare inventories of greenhouse emissions based on existing air pollution emission inventories. The Green Paper on Climate Change recommends to provide support to practitioners on knowledge and mitigation measures and cost-benefit analysis. In this context existing emission inventories devoted to air pollution emissions constitute a foundation that can be enhanced by including also CO2 so they can be used to monitor both air quality and climate action plans. As air quality and climate change measures are linked, combining them has strong methodological advantages.

 

The good practice on Urban air quality forecast provides dedicated city forecasting methods with three levels of complexity accounting for available data and the meteorological situation of the city. The good practice will overcome the problem that not all European cities/regions have the necessary resources and detailed input data for a complex forecast. The following levels are foreseen: Level 1: "easy" or "not well documented situations" based on a statistical approach, Level 2: "Mid-level approach" based on available emission data applicable for simple city typologies. Level 3: "Sophisticated approach" will be based on dynamic emission patterns and the chemistry.

The work is broken down into three tasks each addressing one o the good practices.

  • C 4.1 Mobility indicator
  • C 4.2 Emission inventories integrating greenhouse gases
  • C 4.3 Urban air quality forecast with three levels of complexity

 

Outputs

  •  Mobility indicator tested and validated
  • Emission inventory methodology integrating greenhouse gases tested and validated
  • Urban air quality forecast with three levels of complexity and experiences tested and validated

 

Leader

ATAC


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