The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B4-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 321–327, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-321-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 321–327, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-321-2020

  25 Aug 2020

25 Aug 2020

MODELING OF EMERGENCY EVACUATION IN BUILDING FIRE

H. Bayat1, M. R. Delavar2, W. Barghi1, S. A. EslamiNezhad1, P. Hanachi3, and S. Zlatanova4 H. Bayat et al.
  • 1Department of GIS, School of Surveying and Geospatial Eng., College of Engineering, University of Tehran, Tehran, Iran
  • 2Center of Excellence in Geomatic Eng. in Disaster Management, School of Surveying and Geospatial Eng., College of Engineering, University of Tehran, Tehran, Iran
  • 3School of Urban Planning, College of Fine Arts, University of Tehran, Tehran, Iran
  • 4GRIS, Faculty of Built Environment, UNSW Sydney, Australia

Keywords: Building Information Modelling, Indoor Path finding, 3D Modelling, GIS

Abstract. One of the main problems of rescue workers in confrontation of fired complex buildings is the lack of sufficient information about the building indoor environment and their emergency exit ways. Building information modeling (BIM) is a database for building a 3D model of building information to create a 3D building geometry network model. This paper has implemented some GIS and BIM integration analyses to determine the shortest and safest paths to people under fire risk and simulate their movement in the building. Plasco building was a multi-story shop in Tehran which has been fired in 2017 and destroyed. This paper attempts to simulate the firefighting and rescue operations in Plasco Building using an integration of BIM and GIS. There is no detailed information about the building and the fire incident, therefore the developed BIM and corresponding geometric network might differ slightly. The shortest and safest paths to the exit door or windows where the fire ladders are located are computed and analyzed. As a result of 15 scenarios developed in this paper, it was found that at 87% of the cases, the safest paths for the emergency exit of the people at risk were longer than the shortest paths. This study has evaluated different scenarios for the shortest and safest paths using Dijkstra algorithm considering different origins and destination points in the 3D indoor environment to assist the rescue operations.