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

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.

Publication DOI: https://doi.org/10.3389/fpubh.2025.1531401
Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Civil Engineering
College of Engineering & Physical Sciences > Smart and Sustainable Manufacturing
College of Engineering & Physical Sciences
Aston University (General)
Funding Information: The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was funded by National Natural Science Foundation of China, grant number 72371171; 72001148 and the Program of Shenzh
Additional Information: Copyright © 2025 Li, Lei, Wu, Wang, Pei and Antwi-Afari. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Uncontrolled Keywords: Latent Dirichlet Allocation,topic intensity,emerging mobility services,carbon emissions,topic evolution
Publication ISSN: 2296-2565
Last Modified: 26 Mar 2025 17:42
Date Deposited: 06 Mar 2025 11:45
Full Text Link:
Related URLs: https://www.fro ... 25.1531401/full (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2025-02-14
Published Online Date: 2025-02-14
Accepted Date: 2025-01-29
Authors: Li, Yang
Lei, Yutian
Wu, Zezhou
Wang, Jiahao
Pei, Tianjia
Antwi-Afari, Maxwell Fordjour (ORCID Profile 0000-0002-6812-7839)

Download

[img]

Version: Published Version

License: Creative Commons Attribution


Export / Share Citation


Statistics

Additional statistics for this record