Table 3. Data source and the assumptions used for environmental exposure calculations.
NO. | Policy ID | Sources | Assumptions |
---|---|---|---|
1 | E-transport system | NA | No additional data requirements. |
2 | Active travel | London Travel Demand
Survey ( TFL, 2018), ( BEIS, 2012) |
As with GHG emissions, the London Travel Demand Survey is used to establish
the current proportion of passenger kms travelled by various modes. Transport emission factors for various pollutants per km were obtained from the National Atmospheric Emissions Inventory ( BEIS, 2012). |
3 | Building upgraded |
Hamilton
et al., 2015;
Taylor et al., 2018 |
Predictions for changes in indoor environmental exposures due to home energy
efficiency retrofit were taken from Hamilton et al., 2015. This includes indoor and outdoor PM 2.5, Radon, mould and standard indoor temperature. Predicted changes in overheating were based on work by Taylor et al. (2018). |
4 | Heat pumps | NA | No additional data requirements. Heat pumps assumed to completely eliminate
direct emissions of pollutants from homes. |
5 | Heat networks | NA | No additional data requirements. Heat networks assumed to eliminate direct
emissions of pollutants. |
6 | PV installation | DEFRA, 2019 | Emissions due to power generation were determined from
DEFRA (2019). This
was multiplied by the reduction in demand due to the adding solar PV. |
7 | Grid
decarbonisation |
DEFRA, 2019 | Emissions due to power generation were determined from
DEFRA (2019). It is
assumed grid decarbonisation would eliminate the majority of these emissions. |
8 | Green gas supply | NA | No data currently available. |
9 | Greenspace | GLA, 2015 | Proportion of pollution removed by the urban forest was obtained from Valuing
London's Urban Forest ( GLA, 2015). |
10 | Zero waste city | NA | No data currently available. |