gtfs2emis: Estimating public transport emissions from GTFS data
Very glad to share gtfs2emis, a new bottom-up model to estimate the environmental emissions of public transport systems using GTFS data. It allows one to estimate the emissions of each public transport vehicle at high spatial and temporal resolutions with little data requirements.
gtfs2emis is available as an R package on CRAN, and you can read the detailed methods in this preprint, where we demonstrated the model by analyzing public transport emissions in São Paulo.
- Bazzo Vieira, J. P., Pereira, R. H. M., & Andrade, P. R. (2022). Estimating public transport emissions from General Transit Feed Specification data. OSF Preprints. https://doi.org/10.31219/osf.io/8m2cy.
The model was co-developed with João Bazzo (Ipea) and Pedro Andrade (INPE), and it was shortlisted as a Finalist in the 2022 ITF Decarbonising Transport Award.
ps 1. This idea occurred to me over 3 years ago, but it took a long and incredible collaboration with João Bazzo and P.Andrade to make it happen. João Bazzo made gtfs2emis possible thanks to his great expertise with transport emissions. He’s applying for PhD this year so keep an eye on him!
ps 2. Our next step is to use gtfs2emis to conduct an international benchmark comparing the environmental performance of public transport networks across several global cities. This will take a huge effort but we’re hoping to count with new collaborators. Stay tuned!