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2023 | OriginalPaper | Chapter

Importance Evaluation of Factors for the Railway Accidents Based on TF-K

Authors : Dan Chang, Min Zhang, Daqing Gong

Published in: IEIS 2022

Publisher: Springer Nature Singapore

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Abstract

The chapter explores the application of text mining and complex network theory to identify and evaluate key factors contributing to railway accidents. By analyzing accident reports from China and the UK, the study constructs an importance evaluation model that considers both word frequency and the correlation between factors. The model is validated through comparisons with traditional methods, demonstrating its effectiveness in enhancing railway safety management. The study concludes that human and management factors are critical in reducing accident risks, highlighting the need for improved training and stricter safety measures.

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Title: Importance Evaluation of Factors for the Railway Accidents Based on TF-K
Authors: Dan Chang
Min Zhang
Daqing Gong
Publisher: Springer Nature Singapore
Book: IEIS 2022
Print ISBN: 978-981-9936-17-5

Electronic ISBN: 978-981-9936-18-2

Copyright Year: 2023
DOI: https://doi.org/10.1007/978-981-99-3618-2_7