Tracing the evolution of green logistics: A latent dirichlet allocation based topic modeling technology and
1Graduate School of Logistics, Inha University, Incheon, South Korea.
Plos One
|August 16, 2023
Summary
This study analyzes the evolution of green logistics (GL), identifying key development trends. It reveals that sustainable development models, risk management, and low-carbon routing are primary future directions for green logistics.
Area of Science:
- Logistics and Supply Chain Management
- Environmental Science
- Data Science
Background:
- Green logistics (GL) is a critical trend in modern supply chain management.
- Understanding GL's evolution is vital for research and aligning with international advancements.
- Previous research has not fully explored the developmental trajectory of GL topics.
Purpose of the Study:
- To analyze the evolution of hot topics in green logistics.
- To identify the primary development trends and research frontiers in GL.
- To provide a roadmap for the future sustainable development of logistics.
Main Methods:
- Life cycle theory to divide GL development into three stages: emerging (1993-2003), slow growth (2004-2014), and rapid growth (2015-2021).
- Latent Dirichlet Allocation (LDA) topic modeling to identify and analyze topics within each stage.
- Text similarity analysis and roadmapping to visualize trends and progression.
Main Results:
- Identified 4, 5, and 7 distinct topics in the emerging, slow growth, and rapid growth stages, respectively.
- Revealed key development trends including "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."
- Visualized the development roadmap of GL, highlighting the progression and interconnections between stages.
Conclusions:
- The study provides a novel perspective on GL evolution using topic modeling and roadmapping.
- Identified primary development trends offer strategic insights for sustainable logistics.
- This research contributes theoretical significance to the field of green and sustainable logistics.
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