Evidence map›Paper›PMID 41922338›Full record

ArticleNature communications2026

The potential role of truck-hailing and operational efficiency improvement in China's road freight decarbonization.

Xun Xu, Shiqi Ou, Tianduo Peng, Zhenhong Lin, Xunmin Ou, Zhandong Xu, Mi Gan, Dandan Li, Xiaobo Liu

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Xun XuKing Abdullah Petroleum Studies and Research Center, Riyadh, Saudi Arabia. seanhawaii1983@gmail.com.ORCID http://orcid.org/0000-0003-4523-2959
Shiqi OuSchool of Future Technology, South China University of Technology, Guangzhou, China.ORCID http://orcid.org/0000-0002-7844-5187
Tianduo PengInstitute of Climate Change and Sustainable Development, Tsinghua University, Beijing, China. ptd@mail.tsinghua.edu.cn.ORCID http://orcid.org/0000-0002-9748-7315
Zhenhong LinSchool of Future Technology, South China University of Technology, Guangzhou, China.
Xunmin OuInstitute of Energy, Environment and Economy, Tsinghua University, Beijing, China. ouxm@mail.tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-3250-1734
Zhandong XuSchool of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China.
Mi GanSchool of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China.
Dandan LiSchool of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China.
Xiaobo LiuSchool of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52232011
6 · The paper itself

Abstract

Truck-hailing is an emerging business model that could potentially transform the road freight sector. As a new form of horizontal collaborative transport, it offers great potential to improve operational efficiency-an important yet underrepresented demand-side strategy in current transport decarbonization research. Drawing on a proprietary national truck-hailing dataset (N = 51,021) and an enhanced vehicle fleet model that incorporates operational factors, here we assess the potential carbon emission impacts of truck-hailing and operational efficiency improvements in China under multiple scenarios. Under medium projections, enhancements in load factor and reductions in empty running could cut China's road freight emissions by 886-2203 Mt (9%-24%) in the near term (2020-2035) and 2504-3327 Mt (23%-31%) in the long term (2035-2060), compared to a business-as-usual pathway. However, capacity constraints of zero-emission vehicles may reduce these benefits, resulting in roughly 3% higher emissions in the near term and nearly 10% in the long term.

Identifiers

PMID41922338
PMCPMC13212787

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.