Environmental injustice and transition pathways of heavy-duty truck transport in China

Freight transport underpins economic development yet imposes substantial environmental burdens through heavy-duty truck (HDT) emissions. This study addresses the critical challenge of balancing pollution reduction with social justice in China’s freight sector. Analysing 51 billion signals from over one million HDTs, we create a high-resolution emission inventory revealing stark regional disparities in pollution exposure—with economically disadvantaged and vulnerable populations disproportionately affected. We introduce the Pollution-Benefit Matching Index (PBMI), which quantifies the mismatch between environmental costs and economic benefits at county level, identifying regions bearing high pollution burdens without corresponding economic gains. To address these inequities, we propose three strategic interventions: electrification of major freight corridors, implementation of a polluter-pays nitrogen oxides (NOx) mitigation levy, and establishment of HDT-restricted zones near rural schools. This integrated approach not only reduces emissions but also improves their distributional equity, providing a transferable analytical framework that may inform efforts to advance environmental sustainability and social justice in freight transport systems in other countries. In China, disadvantaged communities face a high level of air pollution, and proposed solutions include corridor electrification, nitrogen oxide emissions levies, and truck-free zones near rural schools, according to billion signals from over 1 million trucks that map freight emissions.

Authors

Institutions

Publication Details

Journal
Communications Earth & Environment
Published
2026-07-24
DOI
https://doi.org/10.1038/s43247-026-03868-3
Primary Topic
Vehicle emissions and performance
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Environmental injustice and transition pathways of heavy-duty truck transport in China

Pengjun Zhao, Shixiong Jiang, Changcheng Kan, Qiyang Liu et al.
Communications Earth & Environment
Vehicle emissions and performance
article

Environmental injustice and transition pathways of heavy-duty truck transport in China

Pengjun Zhao, Shixiong Jiang, Changcheng Kan, Qiyang Liu, Zhaoxiang Li, Yue Wang, Yongqi Hou, Yu Zheng
article en

Abstract

Freight transport underpins economic development yet imposes substantial environmental burdens through heavy-duty truck (HDT) emissions. This study addresses the critical challenge of balancing pollution reduction with social justice in China’s freight sector. Analysing 51 billion signals from over one million HDTs, we create a high-resolution emission inventory revealing stark regional disparities in pollution exposure—with economically disadvantaged and vulnerable populations disproportionately affected. We introduce the Pollution-Benefit Matching Index (PBMI), which quantifies the mismatch between environmental costs and economic benefits at county level, identifying regions bearing high pollution burdens without corresponding economic gains. To address these inequities, we propose three strategic interventions: electrification of major freight corridors, implementation of a polluter-pays nitrogen oxides (NOx) mitigation levy, and establishment of HDT-restricted zones near rural schools. This integrated approach not only reduces emissions but also improves their distributional equity, providing a transferable analytical framework that may inform efforts to advance environmental sustainability and social justice in freight transport systems in other countries. In China, disadvantaged communities face a high level of air pollution, and proposed solutions include corridor electrification, nitrogen oxide emissions levies, and truck-free zones near rural schools, according to billion signals from over 1 million trucks that map freight emissions.

Communications Earth & Environment
Peking University (CN)
National Natural Science Foundation of China, Shenzhen Science and Technology Innovation Program, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 15%
Vehicle emissions and performance
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.