Producing 3D Applications for Urban Planning by Integrating 3D Scanned Building Data with Geo-spatial Data

  • Yonghui Song
  • Hongxia Wang
  • Andy Hamilton
  • Yusuf Arayici
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)


Visual Information Systems for urban planning can be produced in a variety of ways. In this paper we give an account of research into integrating scanned data with urban data sets to produce 3D applications that span built environment spatial scales from building elements to the whole city. In our research, 3D laser scanner is used to capture 3D building models as a way of developing visual 3D presentations. In order to use 3D building models for urban environment, relevant standards are reviewed and the integration of 3D building models with urban scaled geo-spatial data are explored. In the recent EU-funded IntelCities(2004-2005) and Virtual Environment Planning System (VEPS, 2004-2008) research projects, the authors have worked on capturing an existing building in digital form and using 3D data in building refurbishment projects and visualisation of urban environment in planning consultation. The paper introduces the ways of producing 3D applications using integrated data from 3D scanning with geo-spatial datasets. The IntelCities application shows an application for building features survey such as windows and doors, and holistic review of the building’s surroundings regarding historical building refurbishment. The application developed in the VEPS demonstrates the potential of delivering web-based integrated consultation services using 2D/3D visualisation. This can be useful to achieve holistic analysis in urban planning projects.


Building Information Modeling Geospatial Data Building Data Industry Foundation Class Laser Scanning Technology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Arayici, Y., Hamilton A. (2005), Modeling 3D Scanned Data to Visualize the Built Environment, the 9th International Conference of Information Visualisation, London, 6,7,8 July 2005. pp. 509-514, ISBN: 0-7695-2397-8Google Scholar
  2. 2.
    Arayici, Y., Hamilton, A., Gamito, P., Albergaria, G., (2004) The Scope in the INTELCITIES Project for the Use of the 3D Laser Scanner, Proceeding of ECT2004: The Fourth International Conference on Engineering Computational Technology, 7-9 September 2004, Lisbon, Portugal. ISBN 0948749962 pp 111-112.Google Scholar
  3. 3.
    Arena 2000 project, (1999) Virtual Helsinki,, Accessed in Nov 2004.
  4. 4.
    Bulmer, D. (2001). How Can Computer Simulated Visualizations of the Built Environment Facilitate Better Public Participation in the Planning Process? OnLine Planning Journal.Google Scholar
  5. 5.
    Chan, R., Jepson, William., Friedman, Scott. (1998). Urban Simulation: An Innovative Tool for Interactive Planning and Consensus Building. Proceedings of the 1998 American Planning Association National Conference, Boston, MA, USA.Google Scholar
  6. 6.
    Counsell, J., Littlewood, J., Arayici, A., Hamilton, A., et. (2008). Future Proofing, Recording and Tagging Historical Buildings: a Pilot Study in Wales, UK. Accepted for 2008 RICS COBRA Conference.Google Scholar
  7. 7.
    Ding, L., Liew, P, Maher, ML, Gero, JS and Drogemuller, R (2003). Integrating CAD and 3D Virtual Worlds Using Agents and EDM. CAAD Futures.Google Scholar
  8. 8.
    Dodge, M., Smith, A., Fleetwood, S. (1998). Towards the Virtual City: VR & Internet GIS for Urban Planning. Virtual Reality and Geographical Information Systems, Birkbeck College.Google Scholar
  9. 9.
    Fuchs, C., E. Gülch and W. Förstner (1998). OEEPE Survey on 3D-City Models. Frankfurt, Bundesamt für Kartographie und GeodäsieGoogle Scholar
  10. 10.
    Hamilton A., Burns, M., Arayici, Y., Gamito, P., Marambio, A. E., Abajo, B., Pérez, J., Rodríguez-Maribona, I.A., (2005), Building Data Integration System, Final Project Deliverable in the Intelligent Cities (IntelCities) Integrated Project, IST – 2002-507860, Deliverable 5.4c, Final Report, September 2005, University of Salford, UK.Google Scholar
  11. 11.
    Howell, I., Batcheler, B. (2003). Building Information Modeling Two Years Later - Huge Potential, Some Success and Several Limitations.
  12. 12.
    IMS (2002) IFCsvr ActiveX Component Object Reference, VTT (Finland) and SECOM, Inc (Japan)
  13. 13.
    Jepson, W. H., Liggett, Robin. S., Friedman,Scott. (2001). An Integrated Environment for Urban Simulation. Planning Support Systems: Integrating Geographic Information Systems, Models, and Visualization Tools. R. K. Brail and R. E. Klosterman. Redlands, California, USA, ESRI Press: 387-404.Google Scholar
  14. 14.
    Kolbe, T. H., Gröger, Gerhard., Plümer, Lutz. (2005). CityGML – Interoperable Access to 3D City Models. International Symposium on Geoinformation for Disaster Management GI4DM 2005, Delft, Netherlands,, Lecture Notes in Computer Science, Springer.Google Scholar
  15. 15.
    Kolbe, T., Bacharach, Sam. (2006). CityGML: An Open Standard for 3D City Models. Directions Magazine.Google Scholar
  16. 16.
    Shiode, N. (2001). 3D Urban Models: Recent Developments in the Digital Modelling of Urban Environments in Three-Dimensions. GeoJournal 52(3): 263-269.CrossRefGoogle Scholar
  17. 17.
    Song, Y., Hamilton, A. and Wang, H. (2007) Built environment data integration using nD modelling, ITcon Vol. 12, pg. 429-442, Google Scholar
  18. 18.
    Tanyer, A. M., Tah, J. H. M., Aouad, G. (2005). Towards n-Dimensional Modelling in Urban Planning. Innovation in Architecture, Engineering & Construction (AEC), Rotterdam.Google Scholar
  19. 19.
    Wang, H., Hamilton, A. (2005). Data Integration Issues within nD Information Model for Urban Planning. 5th International Postgraduate Research Conference, Salford, UK, Blackwell Publishing.Google Scholar
  20. 20.
    Wang, H., Hamilton, A., Counsell, J. and Tah, J. A web-based framework for urban data sharing and dynamic integration, in ACE: Architecture, City and Environment ISSN: 1886-4805 Publisher: Universitat Politecnia de Catalunya, Barcelona, Spain.Google Scholar
  21. 21.
    Wang, Y. (2008) a furtherdiscussion of 3D building reconstruction and roof reconstruction based on airborne LiDAR data by VEPS’ partner, the Department of Remote Sensing and Land Information Systems, Freiburg University.
  22. 22.
    Yao, J., Tawfik, H., Fernando, T. (2003). Supporting Collaborative Urban Planning with GIS and Virtual Reality. GISRUK, City University, London.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Yonghui Song
    • 1
  • Hongxia Wang
    • 1
  • Andy Hamilton
    • 1
  • Yusuf Arayici
    • 1
  1. 1.Research Institute for the Built and Human Environment (BuHu)University of SalfordUK

Personalised recommendations