Skip to main content

Comparison Between Current Methods of Indoor Network Analysis for Emergency Response Through BIM/CAD-GIS Integration

  • Conference paper
  • First Online:
Advances in Informatics and Computing in Civil and Construction Engineering

Abstract

The main mission of the fire service is protecting life, assets, and natural resources from fire and other hazardous incidents. Geographic Information System (GIS) is supposed to ideally decrease the required time for dispatching first responders to the incident site, while it has some deficiencies in showing and analyzing indoor space and routing. Building Information Modeling (BIM) is a data-rich, potential source for finding the most efficient routes within a building. Researchers have developed the methods, algorithms, and platforms to make indoor navigation analysis easy and understandable for occupants. They have worked on different alternatives of indoor network analysis through a process of applying the different methods to a study model, but it has not been defined which method is more appropriate to first responders’ responsibilities. This paper reports on indoor networks analysis for first responders considering the importance of route finding in emergencies. We analyzed the similarities and differences of each method and algorithm, created an indoor network through ESRI’s Campus Viewer Tool and conducted interviews with a fire marshal and his team. Participants reviewed eight models, including the indoor network analysis model created by the researchers. Findings revealed the indoor network analyses most compatible with the 3D model, easy to read, and understood by first responders.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 349.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 449.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 449.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Haynes, H.J.G.: Fire loss in the United States during 2016, National Fire Protection Association, Data and Analytics Division (2017)

    Google Scholar 

  2. USFA: Fire-related firefighter injuries reported to the national fire incident reporting system (2012–2014). Top. Fire Rep. Ser. 17(6), 1–12 (2016)

    Google Scholar 

  3. Li, N., Becerik-Gerber, B., Soibelman, L., Krishnamachari, B.: Comparative assessment of an indoor localization framework for building an emergency response. Autom. Constr. 57, 42–54 (2015)

    Article  Google Scholar 

  4. Tashakkori, H., Rajabifard, A., Kalantari, M.: A new 3D indoor/outdoor spatial model for indoor emergency response facilitation. Build. Environ. 89, 170–182 (2015)

    Article  Google Scholar 

  5. Boguslawski, P., Mahdjoubi, L., Zverovich, V., Fadli, F.: Automated construction of variable density navigable networks in a 3D indoor environment for emergency response. Autom. Constr. 72(2), 115–128 (2016)

    Article  Google Scholar 

  6. Holmberg, D.G., Raymond, M.A., Averill, J.: Delivering Building Intelligence to First Responders. NIST, Gaithersburg (2013)

    Book  Google Scholar 

  7. Chen, L.C., Wu, C.H., Shen, T.S., Chou, C.C.: The application of geometric network models and building information models in geospatial environments for fire-fighting simulations. Comput. Environ. Urban Syst. 45, 1–12 (2014)

    Article  Google Scholar 

  8. Vandecasteele, F., Merci, B., Verstockt, S.: Fireground location understanding by semantic linking of visual objects and building information models. Fire Saf. 91, 1026–1034 (2017)

    Article  Google Scholar 

  9. Gao, X., Chen, Y.: Research on BIM technology in construction safety & emergency management. In: Advances in Engineering Research. 112, Proceeding in 4th International Conference on Renewable Energy and Environmental Technology (ICREET) (2016)

    Google Scholar 

  10. Vanclooster, A., De Maeyer, P.: Combining indoor and outdoor navigation: the current approach of route planners. In: Advances in Location-Based Services, Lecture Notes in Geoinformation and Cartography, pp. 283–303 (2012)

    Chapter  Google Scholar 

  11. Hor, A., Jadidi, M., Sohn, G.: BIM-GIS integrated geospatial information model using semantic web and RDF graphs. In: ISPRS Annals of Photogrammetry, Remote Sensing, and Spatial Information Sciences. III-4, pp. 73–79 (2016). https://doi.org/10.5194/isprsannals-iii-4-73-2016

    Article  Google Scholar 

  12. Wu, B., Zhang, S.: Integration of GIS and BIM for indoor geovisual analytics. In: Halounova, L., Li, S., Šafář, V., Tomková, M., Rapant, P., Brázdil, K., Shi, W., Anton, F., Liu, Y., Stein, A. (eds.) XXIII ISPRS Congress, Commission II, pp. 455–458. (2016)

    Article  Google Scholar 

  13. Isikdag, U., Zlatanova, S., Underwood, J.: A BIM-oriented Model for supporting indoor navigation requirements. Comput. Environ. Urban Syst. 41, 112–123 (2013)

    Article  Google Scholar 

  14. Zverovich, V., Mahdjoubi, L., Boguslawski, P., Fadli, F., Barki, H.: Emergency response in complex buildings: automated selection of safest and balanced routes. Comput. Aided Civil Infrastruct. Eng. 31(8), 617–632 (2016)

    Article  Google Scholar 

  15. Li, Y., He, Z.: 3D Indoor navigation: a framework of combining BIM with 3D GIS. In: Proceedings of the 44th ISOCARP Congress (2008)

    Google Scholar 

  16. Xu, M., Hijazi, I., Mebarki, A., El Meouche, R., Abune’meh, M.: Indoor guided evacuation: TIN for graph generation and crowd evacuation. Geomat Nat Hazards Risk 7(1), 47–56 (2016)

    Article  Google Scholar 

  17. Teo, T., Cho, K.: BIM-oriented indoor network model for indoor and outdoor combined route planning. Adv. Eng. Inform. 30(3), 268–282 (2016)

    Article  Google Scholar 

  18. Isikdag, U., Underwood, J., Aouad, G.: An investigation into the applicability of building information models in a geospatial environment in support of site selection and fire response management processes. Adv. Eng. Inform. 22(4), 504–519 (2008)

    Article  Google Scholar 

  19. Brown, G., Nagel, C., Zlatanova, S., Kolbe, T. H.: Modelling 3D topographic space against indoor navigation requirements. In: Progress and New Trends in 3D Geoinformation Sciences, pp. 1–22. Springer, Berlin, Heidelberg (2013)

    Google Scholar 

  20. Choi, J., Choi, J., Kim, I.: Development of BIM-based evacuation regulation checking system for high-rise and complex buildings. Autom. Constr. 46, 38–49 (2014)

    Article  Google Scholar 

  21. Ruppel, U., Abolghasemzadeh, P., Stuebbe, K.M.: BIM-based immersive indoor graph networks for emergency situations in buildings. In: Proceedings of the International Conference on Computing in Civil Engineering and Building Engineering, pp. 65–72 (2010)

    Google Scholar 

  22. Xu, M., Wei, M., Zlatanova, S., Zhang, R.: BIM-based indoor path planning considering obstacles—ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. IV-2/W4 (2017)

    Article  Google Scholar 

  23. Jamali, A., Abdul Rahman, A., Boguslawski, P.: 3D topological indoor building modeling integrated with open street map. ISPRS—International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-4/W1(October), pp. 111–117 (2016)

    Article  Google Scholar 

  24. Tsiliakou, E., Dimopoulou, E.: 3D network analysis for indoor space applications. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-2/W2 (2016)

    Article  Google Scholar 

  25. Open Geospatial Consortium: OGC IndoorGML. Retrieved from http://www.opengeospatial.org/standards/indoorgml. Publication Date 23 Aug 2016

  26. Alattas, A., Zlatanova, S., van Oosterom, P., Chatzinikolaou, E., Lemmen, C., Li, K.: Supporting indoor navigation using access rights to spaces based on combined use of IndoorGML and LADM Models. ISPRS Int. J. Geo Inf. 6(12), 384 (2017)

    Article  Google Scholar 

  27. ESRI Homepage: http://3dcampus.arcgis.com/EsriCampusViewer2017. Last accessed 10 Apr 2018

  28. Rensink, R.A.: Internal vs. external information in visual perception. In: Proceedings of the 2nd international symposium on Smart graphics (pp. 63–70). ACM. (2002)

    Google Scholar 

  29. Soegaard, M., Dam, R.F.: The encyclopedia of human-computer interaction. The Encyclopedia of Human-Computer Interaction. (2012)

    Google Scholar 

  30. Lambert, A., Bourqui, R., Auber, D.: 3D edge bundling for geographical data visualization. In: Information Visualization (IV), 14th International Conference (pp. 329–335). IEEE. (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Akram Mahdaviparsa .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mahdaviparsa, A., McCuen, T. (2019). Comparison Between Current Methods of Indoor Network Analysis for Emergency Response Through BIM/CAD-GIS Integration. In: Mutis, I., Hartmann, T. (eds) Advances in Informatics and Computing in Civil and Construction Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-00220-6_75

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-00220-6_75

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00219-0

  • Online ISBN: 978-3-030-00220-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics