air pollution process

Accra

The processing and data sources explained in Accra manuscript V:\Studies\MOVED\HealthImpact\Data\TIGTHAT\Accra\Paper

Sao Paulo

Delhi

Goel’s thesis and publication

Bangalore

Guttikunda et al (2019)

Used the emission inventory from EDGAR database, the emissions for cars and MTW for bangalore were calculated using the corresponding emissions from Delhi, and multiplying those with fraction of vehicle travelled in bangalore to that of Delhi. This fraction was calculated from the travel surveys of the two cities. Without this correction, Bangalore had much higher proportion of emissions from cars than from MTW, which compared to Delhi, did not make sense. V:\Studies\MOVED\HealthImpact\Data\TIGTHAT\India\emission inventory estimates model bangalore.xlsx

Belo Horizonte

WHO database

EDGAR

Bogota

WHO database

Buenos Aires

WHO database

No data available for Buenos Aires. For now, we are using Cordoba city’s estimate – 32% in 2010. Source: WHO source apportionment database. Since, Buenos Aires is coastal and Cordoba is not, there could be some bias in this number.

As reported in EDGAR database: Buses (0.096), heavy duty vehicles (0.126), light duty vehicles (0.163), motorcycles (0.016), passenger cars (0.6)

Santiago

WHO database

31% in 2004 down from 45% in 2001

EDGAR estimates of transport emission shares across the modes do not seem correct. It reports 4% of transport emissions from passenger cars. This is similar to Brazilian cities where we know ethanol is used. But I checked Chile doesn’t have that. I would use a non-ethanol city such as Bogota to estimate. Corrected emission shares: Buses (0.0728), heavy duty vehicles (0.0263), light duty vehicles (0.187), motorcycles (0.00565), passenger cars (0.708) Two estimates in Santiago city transport emission shares—one corrected and one using EDGAR

Transport emission estimates for Mexico City and Santiago using Bogota: Using travel surveys, calculated the distance travelled (in relative terms also works) by ‘road-based’ motorised modes but excluding LDV and HDV as these are not included in the travel surveys. The distance calculated corresponds to the city populati on and not just the sample. Using this distance, we calculate emissions per km for each mode, and then estimate emissions for other cities using the corresponding distance travelled by each mode. Once the emissions for different modes are calculated (for LDV and HDV emissions are same as reported in EDGAR database), we calculate the percent contributions by each mode.

Mexico City

WHO database

Buses (0.439), heavy duty vehicles (0.257), light duty vehicles (0.176), motorcycles (0.038), passenger cars (0.09) Corrected version: Buses (0.0596), heavy duty vehicles (0.0454), light duty vehicles (0.0312), motorcycles (0.00282), passenger cars (0.861) Two estimates in the Mexico city transport emission shares—one corrected and one using EDGAR

Transport emission estimates for Mexico City and Santiago using Bogota: Using travel surveys, calculated the distance travelled (in relative terms also works) by ‘road-based’ motorised modes but excluding LDV and HDV as these are not included in the travel surveys. The distance calculated corresponds to the city populati on and not just the sample. Using this distance, we calculate emissions per km for each mode, and then estimate emissions for other cities using the corresponding distance travelled by each mode. Once the emissions for different modes are calculated (for LDV and HDV emissions are same as reported in EDGAR database), we calculate the percent contributions by each mode.