The Physical Internet: Research Trend Analysis Through Natural Language Processing
Author(s)
Ilham Fahreza, Muhammad
Hirata, Enna
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Abstract
The Physical Internet (PI) is a revolutionary concept in the logistics sector that has emerged over the past decade. It aims to develop an integrated network that emphasizes sustainability and efficiency to achieve interoperability and a collaborative global logistics system. To achieve this, numerous studies have been conducted addressing various aspects of the PI. However, understanding how PI research is currently developing and which directions it focuses on remains limited. Thus, a comprehensive analysis of past PI research is needed. This study aims to analyze the research trend of the PI by identifying the current state of research and under-researched aspects using natural language processing techniques. Relevant PI-related papers were obtained throughout the years from numerous journals and served as the dataset for this research. The data were reconstructed and filtered through natural language processing (NLP) to retain only relevant information. It is further analyzed using BERTopic, a machine learning technique based on Bidirectional Encoder Representations from Transformers (BERT). The analysis produced several topics that represent focus points in PI research. These topics highlight research trends and indicate areas that can be evaluated, offering better insights for future research related to the Physical Internet.
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Date
2025-06
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Text
Resource Subtype
Proceedings
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