Wiki source code of 2.3.14. Avoided GHG emissions through traffic intervention
Last modified by Hyunji Cho on 2022/05/23 12:45
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1.1 | 1 | = 2.3.14. Avoided GHG emissions through traffic intervention = |
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| 4 | ====== **Social challenge/ impact linked to:** ====== | ||
| 5 | )))| Environmental | ||
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| 7 | ====== **Co-creation phase linked to:** ====== | ||
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| 9 | E) Co-monitoring | ||
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| 12 | ====== **Level of importance** ====== | ||
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| 14 | **1** - High Importance / must have | ||
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| 17 | ====== **Description** ====== | ||
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| 20 | ====== **Scale as linked to D2.2 framework** ====== | ||
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| 24 | * City | ||
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| 27 | ====== **Data source and input type** ====== | ||
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| 29 | * Secondary data | ||
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| 32 | ====== **Connection with SDGs** ====== | ||
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| 36 | * Goal 11: Sustainable cities and communities | ||
| 37 | * Goal 13: Climate action | ||
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| 40 | ====== **Required Data** ====== | ||
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3.1 | 42 | * the data resolution is city: |
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2.1 | 43 | * Km per person transport in area by car |
| 44 | * Km per person transport in area by public transport, | ||
| 45 | * Km per person transport in area by walking / cycling | ||
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3.1 | 46 | * Vehicle emission inventory (total emission loads within a certain space and time |
| 47 | * emission factors describing emission characteristics of individual vehicles (Zhang et al., 2018) | ||
| 48 | * Vehicle activity containing traffic volume, speed, fleet composition. Obtained by a field traffic survey. | ||
| 49 | * Emissions inventory, to help model carbon and air quality to a high spatiotemporal resolution. | ||
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| 52 | ====== **Expected Outputs** ====== | ||
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| 57 | ====== **Calculation methods** ====== | ||
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| 62 | ====== **Level of expertise required** ====== | ||
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| 67 | ====== **Links and references** ====== | ||
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| 72 | Revisions | ||
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| 74 | |**Version**|**Name**|**Date**|**Changes made** | ||
| 75 | |**0.1**|Hyunji Cho(EcoWise)|16/05/2022|Factsheet created | ||
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