Towards better illegal chemical facility detection with hazardous chemicals transportation trajectories

Junxiu Tang, Huimin Ren, Zikun Deng, Di Weng*, Tan Tang, Lingyun Yu, Jie Bao, Yu Zheng, Yingcai Wu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Unregistered illegal facilities that do not qualify for chemical production pose substantial threats to human lives and the environment. For human safety and environmental protection, the government needs to figure out the illegal facilities and shut them down. A new, convenient, and affordable approach to detect such facilities is to analyze the trajectories of hazardous chemicals transportation (HCT) trucks. The existing study leverages a machine learning model to predict how likely a place is illegal. However, such a model lacks interpretability and cannot provide actionable justifications required for decision-making. In this study, we collaborate with HCT experts and propose an interactive visual analytics approach to explore the suspicious stay points, analyze abnormal HCT truck behaviors, and figure out unregistered illegal chemical facilities. First, experts receive an initial result from the detection model for reference. Then, they are supported to check the detailed information of the suspicious places with three coordinated views. We apply a visualization that tightly encodes the geo-referred movement activities along the timeline to present the HCT truck behaviors, which can help experts finally verify their conclusions. We demonstrate the effectiveness of the system with two case studies on real-world data. We also received experts’ positive feedback from an expert interview.

Original languageEnglish
JournalJournal of Visualization
DOIs
Publication statusAccepted/In press - 2025

Keywords

  • Hazardous chemicals transportation
  • Spatialtemporal analysis
  • Stay point
  • Visual analysis

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Tang, J., Ren, H., Deng, Z., Weng, D., Tang, T., Yu, L., Bao, J., Zheng, Y., & Wu, Y. (Accepted/In press). Towards better illegal chemical facility detection with hazardous chemicals transportation trajectories. Journal of Visualization. https://doi.org/10.1007/s12650-025-01055-8