Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/159733
Title: Research topics and trends in the maritime transport: a structural topic model
Authors: Bai, Xiwen
Zhang, Xiunian
Li, Kevin X.
Zhou, Yaoming
Yuen, Kum Fai
Keywords: Engineering::Civil engineering
Issue Date: 2021
Source: Bai, X., Zhang, X., Li, K. X., Zhou, Y. & Yuen, K. F. (2021). Research topics and trends in the maritime transport: a structural topic model. Transport Policy, 102, 11-24. https://dx.doi.org/10.1016/j.tranpol.2020.12.013
Journal: Transport Policy
Abstract: Maritime transport is considered as the lynchpin of global trade. In the past decades, a large number of academic articles in the maritime transport field have been published. This study aims to provide a comprehensive review of the development of maritime transport research. A structural topic model (STM) is adopted to analyze the research themes and trends in the maritime literature. STM is a text mining-based methodology to uncover main topics from large-scale unstructured textual data. In total, 3199 articles published between Jan 1991 and Aug 2020 were collected and analyzed. The results show that the major academic concerns of maritime transport are related to port management, container operations and liner shipping management. The overall research trends have shifted from regulations and policy management to efficient, integrated and sustainable maritime transport over the past few decades. The main research topics and emerging trends discovered from STM can facilitate researchers, funding groups and policymakers for identifying contemporary research issues and making more informed decisions.
URI: https://hdl.handle.net/10356/159733
ISSN: 0967-070X
DOI: 10.1016/j.tranpol.2020.12.013
Rights: © 2020 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:CEE Journal Articles

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