Ship-Collision Causation Model of the Grand Canal Based on Formal Concept Analysis
- DOI
- 10.2991/978-94-6239-703-3_3How to use a DOI?
- Keywords
- Canal ship collision accident; Formal concept analysis; Attribute set; Concept reduction
- Abstract
[Aim] It is essential to set up a simplified causation model in the Grand Canal so as to prevent ship-ship collision frequently. [Data] from year 2018 to 2022, 217 ship collision accidents retrieved from Suzhou Wujiang section. [Method] To apply a complex network model, a visibility graph algorithm could be given by converting time-difference series into a complex network, which aims to the features of the accident time series. The object set retrieved from the core concepts of two typical accident black spots, which the attribute set extracted from causation factors. Therefore, a causal concept lattice of ship collision accidents in the Grand Canal was set up. [Conclusion] A concept reduction analysis method is brought out to extract the basic reasons of two typical black spots. Thus, the strongest correlated cause are as followings: flotillas entering and leaving main route, risky overtaking, inconsistent intentions to give way, narrow navigable canal width, poor sight lines and negligence of lookout.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zhirong Tan AU - Lingchen Bao AU - Tiancheng Wang PY - 2026 DA - 2026/06/08 TI - Ship-Collision Causation Model of the Grand Canal Based on Formal Concept Analysis BT - Proceedings of the 2026 2nd International Conference on Engineering Management and Safety Engineering (EMSE 2026) PB - Atlantis Press SP - 15 EP - 31 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6239-703-3_3 DO - 10.2991/978-94-6239-703-3_3 ID - Tan2026 ER -