Construction and analysis of a chemical accidents causation network based on text mining: Evidence from China

Key Points

• Chemical accidents causation network utilizes text mining for risk evaluation, enhancing awareness.
• Key risk factors identified include operator error and inadequate safety protocols, impacting incident frequency.
• Analysis employs text mining techniques on accident reports to construct a detailed causation network.
• Findings support the need for improved safety measures in chemical industries to mitigate risks.