Evidence map›Paper›PMID 40027503›Full record

ArticleFrontiers in public health2025

A topic modeling-based analysis of emerging mobility services for carbon emission reduction.

Yang Li, Yutian Lei, Zezhou Wu, Jiahao Wang, Tianjia Pei, Maxwell Fordjour Antwi-Afari

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. 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
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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

6 authors.

Yang LiGuangdong Power Grid Corporation, Guangzhou, China.
Yutian LeiEnergy Development Research Institute, CSG, Guangzhou, China.
Zezhou WuState Key Laboratory of Intelligent Geotechnics and Tunnelling, Shenzhen, China.
Jiahao WangState Key Laboratory of Intelligent Geotechnics and Tunnelling, Shenzhen, China.
Tianjia PeiState Key Laboratory of Intelligent Geotechnics and Tunnelling, Shenzhen, China.
Maxwell Fordjour Antwi-AfariDepartment of Civil Engineering, College of Engineering and Physical Sciences, Aston University, Birmingham, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: With rising urbanization and global climate change, sustainable city development has become an urgent challenge. Emerging mobility services provide innovative solutions for sustainable city governance, bridging the gap between transportation demand and supply, alleviating city travel and reducing carbon emissions. However, further investigation is needed to ascertain the specific roles and potential enhancements that emerging mobility services could contribute to reducing carbon emissions. Methods: In this study, a systematic search of the Web of Science Core Collection using relevant keywords yielded 431 articles. After screening, 225 articles were deemed relevant, meeting the following criteria: (1) the articles focused on emerging mobility services, and (2) they explored the relationship between these services, carbon emissions, and environmental impacts. These articles were then synthesized using the Potential Dirichlet Allocation Model. Results: This study identifies four key research questions using the Potential Dirichlet Allocation Model: "Emerging Mobility's Environmental Impacts," "Policy-Led Sustainable Mobility Services," "User-Centric Mobility Services," and "Cost-Benefit Analysis of Electrification." Assessments of the theme strengths track their evolution over time, highlighting the increasing importance of policy-led development and user-centered optimization. Discussion: The study has shown that emerging mobility services have the potential to reduce carbon emissions; however, the extent of this impact varies by region, service type, and other factors. Policy strategies play a crucial role in promoting the development of new and emerging transport services. These findings contribute to the sustainable development of these services, the reduction of carbon emissions, and the improvement of urban living conditions.

Indexed as

TransportationCitiesClimate ChangeHumansModels, TheoreticalSustainable DevelopmentUrbanizationcarbon emissionsemerging mobility servicesLatent Dirichlet Allocationtopic evolutiontopic intensity

Identifiers

PMID40027503
PMCPMC11868098

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LicenceCC BY
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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.