Estimating public transport emissions from General Transit Feed Specification data

This paper introduces the gtfs2emis model, a bottom-up method available as an R package to estimate emissions of public transport systems. The method uses General Transit Feed Specification (GTFS) data, a standard format for public transport data widely adopted worldwide, which makes the method easily applicable to cities with limited data. The model requires a GTFS feed of a given transport system and a table with general characteristics of the vehicle fleet profile. The package can estimate over 16 pollutants and energy consumption based on emission factor models from Europe, the United States, and Brazil. It also includes functions to help users examine how emissions are distributed across space, at different times of the day, and by types of vehicles. This paper presents a reproducible example of the city of São Paulo (Brazil) to demonstrate the gtfs2emis package and to discuss the potential applications and limitations of the proposed model.

• Record URL:
  • https://doi.org/10.1016/j.trd.2023.103757
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S1361920923001542
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
• Supplemental Notes:
  • © 2023 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Vieira, João Pedro Bazzo
  • Pereira, Rafael H M
  • Andrade, Pedro R
• Publication Date: 2023-6

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 103757
• Serial:
  • Transportation Research Part D: Transport and Environment
  • Volume: 119
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1361-9209
  • Serial URL: http://www.sciencedirect.com/science/journal/13619209

Subject/Index Terms

• TRT Terms: Data analysis; Estimating; Pollutants; Public transit
• Identifier Terms: General Transit Feed Specification (GTFS)
• Geographic Terms: Sao Paulo (Brazil)
• Subject Areas: Data and Information Technology; Environment; Public Transportation;

Filing Info

• Accession Number: 01883437
• Record Type: Publication
• Files: TRIS
• Created Date: May 25 2023 1:50PM