Research data supporting the publication "Air Pollution Emissions from Vehicles as a Function of Their Current Real- World Market Price"

1365 19 7513 5 42677 document 7513 Data.csv text/plain d19c7df00f0682bec5db5156cc72bd46 MD5 3929621 2025-09-11 09:52:57 http://edata.bham.ac.uk/1365/1/Data.csv 1365 1 2 text/plain text embargoed cc_by_nc_4

Data.csv

2026-08-29 publication data 7514 4 42679 document 7514 ReadMe.txt text/plain 7918826c63bd68d2747e1facaec65f55 MD5 3568 2025-09-11 09:53:25 http://edata.bham.ac.uk/1365/2/ReadMe.txt 1365 2 1 text/plain text public cc_by_4

ReadMe.txt

readme 7515 1 42688 document 7515 indexcodes.txt text/plain 4383eb168249526f5b936eab951230ac MD5 1463 2025-09-11 10:02:05 http://edata.bham.ac.uk/1365/3/indexcodes.txt 1365 3 3 text/plain other Generate index codes conversion from text to indexcodes public

indexcodes.txt

data http://eprints.org/relation/isVersionOf http://edata.bham.ac.uk/id/document/7514 http://eprints.org/relation/isVolatileVersionOf http://edata.bham.ac.uk/id/document/7514 http://eprints.org/relation/isIndexCodesVersionOf http://edata.bham.ac.uk/id/document/7514 archive 504 disk0/00/00/13/65 2025-09-29 12:34:55 2025-09-30 10:43:36 2025-09-29 12:34:55 data_collection show Ghaffarpasand Omid o.ghaffarpasand@bham.ac.uk 0000-0002-4111-339X Pope Francis F.Pope@bham.ac.uk 0000-0001-6583-8347 Research data supporting the publication "Air Pollution Emissions from Vehicles as a Function of Their Current Real- World Market Price" 10col_life Vehicular Emissions; Vehicle pricing; Remote sensing; Emission inequality; Machine learning. The dataset provides estimated retail prices (£) for vehicles, obtained using a machine learning model trained on market data. These estimates allow for linking environmental performance with economic indicators. This dataset, provided in CSV format, supports the findings of the associated research paper. It contains anonymised vehicle-level data with technical attributes and corresponding real-world emission factors (EFs), calculated to three significant figures. Key variables include vehicle characteristics (e.g., Euro standard, registration year), test conditions (vehicle-specific power, repeats), and both distance-based (g/km) and fuel-based (g/kg fuel) emission factors for NOx, NO₂, NO, CO, and PM. 2025-09-29 published University of Birmingham https://doi.org/10.25500/edata.bham.00001365 Dataset research-data@contacts.bham.ac.uk School of Geography, Earth and Environmental Sciences nerc NERC NE/S003487/1 yes yes yes TRUE Ethics & privacy: All vehicle identifiers have been anonymised to comply with GDPR; only technical information is retained.