Cargando…

Tracing the evolution of green logistics: A latent dirichlet allocation based topic modeling technology and roadmapping

Green logistics (GL) is the main development trend of modern logistics. The analysis of green logistics topics and their evolution is helpful in grasping its development trend and doing research facing the international frontier. Focusing on the hot topics and evolution process of green logistics, t...

Descripción completa

Detalles Bibliográficos
Autores principales: Ma, Ruijundi, Kim, Yong Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10431619/
https://www.ncbi.nlm.nih.gov/pubmed/37585422
http://dx.doi.org/10.1371/journal.pone.0290074
_version_ 1785091244572016640
author Ma, Ruijundi
Kim, Yong Jin
author_facet Ma, Ruijundi
Kim, Yong Jin
author_sort Ma, Ruijundi
collection PubMed
description Green logistics (GL) is the main development trend of modern logistics. The analysis of green logistics topics and their evolution is helpful in grasping its development trend and doing research facing the international frontier. Focusing on the hot topics and evolution process of green logistics, this paper analyzes from four aspects: firstly, this study divides the green logistics development progress into three stages based on life cycle theory, which are the emerging stage (1993–2003), slow growth stage (2004–2014) and rapid growth stage (2015–2021). Then, based on latent dirichlet allocation (LDA) topic model, this study summarizes and confirms related words and meaning of each topic in different stages. Furthermore, this study calculates the text similarity in each development stage of green logistics and analyzes the trend of hot topics in green logistics. Finally, this paper visualizes the development roadmap of green logistics and explores the progression among three stages. There are 4, 5, and 7 topics defined respectively in three development stages. The revolution of green logistics is analyzed, and the results show that "model and management on sustainable development of GL", "related issues and potential threats of GL", and "optimization analysis of low-carbon vehicle routing and time" are the primary development trends of green logistics. This study fills the gap in considering the evolution process of green logistics through topic modeling and roadmapping method. It provides a particular theoretical significance for the green and sustainable development of logistics.
format Online
Article
Text
id pubmed-10431619
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-104316192023-08-17 Tracing the evolution of green logistics: A latent dirichlet allocation based topic modeling technology and roadmapping Ma, Ruijundi Kim, Yong Jin PLoS One Research Article Green logistics (GL) is the main development trend of modern logistics. The analysis of green logistics topics and their evolution is helpful in grasping its development trend and doing research facing the international frontier. Focusing on the hot topics and evolution process of green logistics, this paper analyzes from four aspects: firstly, this study divides the green logistics development progress into three stages based on life cycle theory, which are the emerging stage (1993–2003), slow growth stage (2004–2014) and rapid growth stage (2015–2021). Then, based on latent dirichlet allocation (LDA) topic model, this study summarizes and confirms related words and meaning of each topic in different stages. Furthermore, this study calculates the text similarity in each development stage of green logistics and analyzes the trend of hot topics in green logistics. Finally, this paper visualizes the development roadmap of green logistics and explores the progression among three stages. There are 4, 5, and 7 topics defined respectively in three development stages. The revolution of green logistics is analyzed, and the results show that "model and management on sustainable development of GL", "related issues and potential threats of GL", and "optimization analysis of low-carbon vehicle routing and time" are the primary development trends of green logistics. This study fills the gap in considering the evolution process of green logistics through topic modeling and roadmapping method. It provides a particular theoretical significance for the green and sustainable development of logistics. Public Library of Science 2023-08-16 /pmc/articles/PMC10431619/ /pubmed/37585422 http://dx.doi.org/10.1371/journal.pone.0290074 Text en © 2023 Ma, Kim https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ma, Ruijundi
Kim, Yong Jin
Tracing the evolution of green logistics: A latent dirichlet allocation based topic modeling technology and roadmapping
title Tracing the evolution of green logistics: A latent dirichlet allocation based topic modeling technology and roadmapping
title_full Tracing the evolution of green logistics: A latent dirichlet allocation based topic modeling technology and roadmapping
title_fullStr Tracing the evolution of green logistics: A latent dirichlet allocation based topic modeling technology and roadmapping
title_full_unstemmed Tracing the evolution of green logistics: A latent dirichlet allocation based topic modeling technology and roadmapping
title_short Tracing the evolution of green logistics: A latent dirichlet allocation based topic modeling technology and roadmapping
title_sort tracing the evolution of green logistics: a latent dirichlet allocation based topic modeling technology and roadmapping
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10431619/
https://www.ncbi.nlm.nih.gov/pubmed/37585422
http://dx.doi.org/10.1371/journal.pone.0290074
work_keys_str_mv AT maruijundi tracingtheevolutionofgreenlogisticsalatentdirichletallocationbasedtopicmodelingtechnologyandroadmapping
AT kimyongjin tracingtheevolutionofgreenlogisticsalatentdirichletallocationbasedtopicmodelingtechnologyandroadmapping