Actantial Narrative Schema in Emergency Response Process Modeling for Aircraft Fires

Analyzing the emergency response process and time characteristics after aircraft fires is extremely important for airport safety. Due to non-process-related elements, the Petri net model of the emergency process is generally complex and difficult to revise and expand. In this study, the actantial model was used to analyze the semantic structure of emergency actions in the Petri net emergency process model, and the actantial-timed Petri net (A-TPN) hybrid model was proposed for problem solving. The emergency response process of aircraft fires was analyzed as a case study to explain the application steps of the A-TPN hybrid model. First, the types of elements should be divided into process-related elements and non-process-related elements. Process-related elements include status elements and narrative elements, which are equivalent to the places and transitions in the Petri net model. Second, the workflow constructed by the status and narrative elements is converted into a Petri net. An actantial model is used to analyze the semantic structure of emergency response action narratives. Third, according to the analysis of the actants of the helper and the opponent, emergency action time characteristics are considered to construct the A-TPN hybrid model and analyze the time performance of the emergency response process. In this way, an emergency response plan can be analyzed and promoted for smart development.

  • Record URL:
  • Availability:
  • Supplemental Notes:
    • © 2019 Xingna Luo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • Authors:
    • Luo, Xingna
    • Zhang, Qingsong
    • Jin, Yijia
  • Publication Date: 2019


  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 01717120
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jun 5 2019 2:37PM