Bibliometric analysis of traffic-related air pollution: using CiteSpace to explore the knowledge structure and trends

Although traffic-related air pollution (TRAP) has been a long-standing problem, few bibliometric- and visual analysis-based literature reviews have been performed. In light of this issue, future research plans and directions in the field of TRAP must be determined. Therefore, this study performed a...

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Main Author: Haochuan Lin
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:Environmental Research Communications
Subjects:
Online Access:https://doi.org/10.1088/2515-7620/ad2a92
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author Haochuan Lin
author_facet Haochuan Lin
author_sort Haochuan Lin
collection DOAJ
description Although traffic-related air pollution (TRAP) has been a long-standing problem, few bibliometric- and visual analysis-based literature reviews have been performed. In light of this issue, future research plans and directions in the field of TRAP must be determined. Therefore, this study performed a bibliometric analysis of the TRAP publishing trends, including the countries, institutional collaborations, author collaborations, keywords, and hotspots. The information visualization software CiteSpace was used to analyze the relevant literature collected from the Web of Science (WoS) from 2003 to 2022. The main findings of this study included the following: (1) the main keywords in TRAP research are particulate matter, exposure, health, nitrogen dioxide, and mortality; (2) current research is focused on the impacts of TRAP on humans; and (3) potential hotspots for future TRAP research are source apportionment, asthma, heart rate variability, and mobile monitoring. This article aims to develop a better understanding of current research trends in TRAP and provide directions for future research.
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spelling doaj.art-6094b7508bbe49ada606ce88a361316f2024-02-29T11:24:52ZengIOP PublishingEnvironmental Research Communications2515-76202024-01-016202200210.1088/2515-7620/ad2a92Bibliometric analysis of traffic-related air pollution: using CiteSpace to explore the knowledge structure and trendsHaochuan Lin0https://orcid.org/0009-0007-3275-6311School of Environment, Beijing Jiaotong University , Beijing 100044, People’s Republic of ChinaAlthough traffic-related air pollution (TRAP) has been a long-standing problem, few bibliometric- and visual analysis-based literature reviews have been performed. In light of this issue, future research plans and directions in the field of TRAP must be determined. Therefore, this study performed a bibliometric analysis of the TRAP publishing trends, including the countries, institutional collaborations, author collaborations, keywords, and hotspots. The information visualization software CiteSpace was used to analyze the relevant literature collected from the Web of Science (WoS) from 2003 to 2022. The main findings of this study included the following: (1) the main keywords in TRAP research are particulate matter, exposure, health, nitrogen dioxide, and mortality; (2) current research is focused on the impacts of TRAP on humans; and (3) potential hotspots for future TRAP research are source apportionment, asthma, heart rate variability, and mobile monitoring. This article aims to develop a better understanding of current research trends in TRAP and provide directions for future research.https://doi.org/10.1088/2515-7620/ad2a92traffic-related air pollutionurban environmentCiteSpacebibliometricknowledge mapping analysisframework
spellingShingle Haochuan Lin
Bibliometric analysis of traffic-related air pollution: using CiteSpace to explore the knowledge structure and trends
Environmental Research Communications
traffic-related air pollution
urban environment
CiteSpace
bibliometric
knowledge mapping analysis
framework
title Bibliometric analysis of traffic-related air pollution: using CiteSpace to explore the knowledge structure and trends
title_full Bibliometric analysis of traffic-related air pollution: using CiteSpace to explore the knowledge structure and trends
title_fullStr Bibliometric analysis of traffic-related air pollution: using CiteSpace to explore the knowledge structure and trends
title_full_unstemmed Bibliometric analysis of traffic-related air pollution: using CiteSpace to explore the knowledge structure and trends
title_short Bibliometric analysis of traffic-related air pollution: using CiteSpace to explore the knowledge structure and trends
title_sort bibliometric analysis of traffic related air pollution using citespace to explore the knowledge structure and trends
topic traffic-related air pollution
urban environment
CiteSpace
bibliometric
knowledge mapping analysis
framework
url https://doi.org/10.1088/2515-7620/ad2a92
work_keys_str_mv AT haochuanlin bibliometricanalysisoftrafficrelatedairpollutionusingcitespacetoexploretheknowledgestructureandtrends