International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Volume XLII-4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 161–168, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-161-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 161–168, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-161-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  19 Sep 2018

19 Sep 2018

EXTENDING INDOOR OPEN STREET MAPPING ENVIRONMENTS TO NAVIGABLE 3D CITYGML BUILDING MODELS: EMERGENCY RESPONSE ASSESSMENT

F. Fadli1, N. Kutty1, Z. Wang2, S. Zlatanova3, L. Mahdjoubi4, P. Boguslawski5, and V. Zverovich6 F. Fadli et al.
  • 1Department of Architecture and Urban Planning, Qatar University, Doha, Qatar
  • 2Department of Geography, Heidelberg University, Heidelberg, Germany
  • 3GRID, Faculty of Built Environment, University of South Wales, Sydney, Australia
  • 4Dept. of Environment and Technology, University of the West of England, UK
  • 5Faculty of Geoengineering, Mining and Geology, Wroclaw University of Science and Technology, Wroclaw, Poland
  • 6Dept. of Engineering, Design and Mathematics, University of the West of England, UK

Keywords: Emergency evacuation responses, Digital data management, Crowdsourced geodata, OpenStreetMap (OSM), Indoor routing, 3D CityGML models

Abstract. Disaster scenarios in high-rise buildings such as the Address Downtown, Dubai or Grenfell Tower, London have showed ones again the importance of data information availability for emergency management in buildings. 3D visualization of indoor routing services using extensive and high quality geographic data sources is essential for spatial analysis in emergency responses. In order to facilitate emergency response simulations, a combination of geometrical, graphical and semantic information is essential. Successful and efficient emergency evacuation responses is facilitated by the availability of both digital static and dynamic information of the incident site. However, interruptions may be encountered with the availability of dynamic data, where static data developed using indoor navigation ontologies serve as an alternative to inform the first responders. Thus, it is necessary to obtain a firm, interactive and quasi-realistic virtual simulation of the building environments. Voxelized CityGML models imported into voxel based hazard simulation systems fits well into the simulation algorithm requirements (Groger et al., 2008; Moreno et.al, 2010). Therefore, the research investigates an alternative platform for generating CityGML spatial analysis models. LoD4 models are developed using Computer Aided Design (Auto CAD) 2D files, crowdsourced geo-data (OpenStreetMap) and open source tools. A combination of software packages is utilized for 3D reconstruction of building interiors. This process is achieved through a Java application developed by researchers at Heidelberg University. Conclusions drawn from the research validate the 3D CityGML model generation process as an international standard to effectively enhance the outcome of emergency evacuation simulations of high rise buildings.