air pollution source

City	Source of data	Year of data collection	Location of data (e.g. in v-drive, web link)	Data security status (e.g. openly available, need to be anonymised)	Data extracted for ITHIM R	Notes
Accra	Notes
Sao Paulo	Refer Thiago's manuscript and Marko's Analytica
Belo Horizonte
Bogota	Traffic emissions using EDGAR database; Concentrations from WHO database		V:\Studies\MOVED\HealthImpact\Data\TIGTHAT\global transport source apportionment ; http://apps.who.int/gho/data/view.main.AMBIENTCITY2016?lang=en
Mexico city	Traffic emissions using EDGAR database; Concentrations from WHO database		V:\Studies\MOVED\HealthImpact\Data\TIGTHAT\global transport source apportionment ; http://apps.who.int/gho/data/view.main.AMBIENTCITY2016?lang=en		ITHIM-R\code\processing traffic emissions	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
Buenos Aires	Traffic emissions using EDGAR database; Concentrations from 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.		V:\Studies\MOVED\HealthImpact\Data\TIGTHAT\global transport source apportionment ; http://apps.who.int/gho/data/view.main.AMBIENTCITY2016?lang=en
Santiago	Traffic emissions using EDGAR database Notes; Concentrations from WHO database	Notes	V:\Studies\MOVED\HealthImpact\Data\TIGTHAT\global transport source apportionment ; http://apps.who.int/gho/data/view.main.AMBIENTCITY2016?lang=en		ITHIM-R\code\processing traffic emissions
New Delhi	Goel's phd thesis
Bengaluru	Notes
Visakhapatnam

Notes

Accra

The processing and data sources explained in Accra manuscript: V:\Studies\MOVED\HealthImpact\Data\TIGTHAT\Accra\Paper; Spreadsheet for calculating emissions here: V:\Studies\MOVED\HealthImpact\Data\TIGTHAT\Accra\Accra report for July 2018 (Rahul)\traffic emissions calculations.xlsx

Mexico city

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 population 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.

EDGAR version: 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 Code is here: \ITHIM-R\code\ transport_emission_estimates_mexico_city.R

SP

Belo Horizonte

Bogota

Buenos Aires

Santiago

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 population 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.

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 Code is here: \ITHIM-R\code\transport_emission_estimates_santiago.R

Delhi

Bangalore

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

Following publication was used for ambient concentration and transport contribution Guttikunda, S. K., Nishadh, K. A., Gota, S., Singh, P., Chanda, A., Jawahar, P., & Asundi, J. (2019). Air quality, emissions, and source contributions analysis for the Greater Bengaluru region of India. Atmospheric Pollution Research, 10(3), 941-953.