Trend Analysis of Marine Construction Disaster Prevention Based on Text Mining: Evidence from China
Department of Civil Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
Aidi Hizami Alias
Department of Civil Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
Nuzul Azam Haron
Department of Civil Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
Nabilah Abu Bakar
Department of Civil Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
DOI: https://doi.org/10.36956/sms.v6i1.1026
Received: 23 January 2024; Revised: 15 March 2024; Accepted: 20 March 2024; Published Online: 31 March 2024
Copyright © 2024 Yin Junjia, Aidi Hizami Alias, Nuzul Azam Haron, Nabilah Abu Bakar. Published by Nan Yang Academy of Sciences Pte. Ltd.
This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.
Abstract
Global climate change has led to frequent natural disasters such as tsunamis and earthquakes, making offshore construction risky. In this paper, high-level papers from the Web of Science (WoS) were searched, and critical terms were identified and categorized using text-mining techniques. To ensure the resilience and safety of marine structures, we discuss the challenges of marine clays, marine eco-civilization construction, and disaster prevention databases. The recommendations presented provide valuable insights for engineers, researchers, and other stakeholders involved in marine construction projects.
Keywords: Text mining; Web of Science; Marine construction; Disaster prevention; Literature review
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