Global transport emissions 1850–2020: Historical drivers and lessons for transport decarbonization

This study analyzes global transport CO 2 emissions from 1850 to 2020 using the LMDI method, offering, for the first time, a decomposition over such a long timespan and global scope. Emissions are split into technological and demand-related drivers using a new dataset. Transport efficiency is divided into final-to-useful efficiency and useful energy intensity, a novel distinction. Key findings include: (1) efficiency improvements avoided 9067 Gt CO 2 by 2019, with peak impacts in 1950–1973 (-1.62 %/yr) and 2008–2020 (-3.63 %/yr), respectively; (2) these gains were insufficient to counter rising demand, which led to 8252 Gt CO 2 in cumulative emissions; (3) demand growth driven by GDP per capita, service intensity, and population accounted for 16 683 Gt CO 2 in 2019, with service intensity dominating in 1850–1913 (+3.97 %/yr) and GDP and population drivers peaking in 1950–1973 (+2.57 % and +1.83 %/yr); (4) keeping emissions at 2020 levels through 2029 would require electricity to supply 52 % of transport energy.

Authors

Institutions

Publication Details

Journal
Transportation Research Part D Transport and Environment
Published
2025-09-23
DOI
https://doi.org/10.1016/j.trd.2025.104998
Citations
3
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
2.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Global transport emissions 1850–2020: Historical drivers and lessons for transport decarbonization

Paul E. Brockway, Sofia Teives Henriques, Matthew Kuperus Heun, Tânia Sousa et al.
3 citations
Transportation Research Part D Transport and Environment
Environmental Impact and Sustainability
2.40
article

Global transport emissions 1850–2020: Historical drivers and lessons for transport decarbonization

Paul E. Brockway, Sofia Teives Henriques, Matthew Kuperus Heun, Tânia Sousa, Bernardo Tostes
article en
3 citations

Abstract

This study analyzes global transport CO 2 emissions from 1850 to 2020 using the LMDI method, offering, for the first time, a decomposition over such a long timespan and global scope. Emissions are split into technological and demand-related drivers using a new dataset. Transport efficiency is divided into final-to-useful efficiency and useful energy intensity, a novel distinction. Key findings include: (1) efficiency improvements avoided 9067 Gt CO 2 by 2019, with peak impacts in 1950–1973 (-1.62 %/yr) and 2008–2020 (-3.63 %/yr), respectively; (2) these gains were insufficient to counter rising demand, which led to 8252 Gt CO 2 in cumulative emissions; (3) demand growth driven by GDP per capita, service intensity, and population accounted for 16 683 Gt CO 2 in 2019, with service intensity dominating in 1850–1913 (+3.97 %/yr) and GDP and population drivers peaking in 1950–1973 (+2.57 % and +1.83 %/yr); (4) keeping emissions at 2020 levels through 2029 would require electricity to supply 52 % of transport energy.

Transportation Research Part D Transport and EnvironmentVol. 148
University of Leeds (GB), Calvin University (US), Universidade do Porto (PT), Universidade Politécnica de Lisboa (PT), Stellenbosch University (ZA)
Openalex Percentile: Top 11%
Environmental Impact and Sustainability
2.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Global transport emissions 1850–2020: Historical drivers and lessons for transport decarbonization — Paul E. Brockway, Sofia Teives Henriques, et al. · Transportation Research Part D Transport and Environment (2025) | TGRS Research Map | TGRS