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Web 3DS Business Models


7. PROPOSED PRICE MODEL FOR WEB 3D CITY MODELS:
In any case, Price model can be based on either Data capture cost or Application cost.

7.1 BUSINESS MODEL BASED ON DATA CAPTURE COST:
Cost of the Data is determined based upon the cost Data provider spent to capture and serve it. This is the most common method in Geodata business. For the above mentioned customers, possible Business model is illustrated in the Flow chart Business model based on Data capture cost

7.2 BUSINESS MODEL BASED ON DATA APPLICATION:
Cost of the Data can also be determined based upon value of that data to the customer or how much Customer is going to get profit from this data. For e.g. for private use like entertainment, customer will not get any money from the 3D data. For the cases of Tourism and Real estate, 3D data can be used to attract its Customers. So moderate cost can be fixed. But for the cases of Mobile network and Navigation high cost can be fixed, since those companies will get high profit from the 3D data. This is illustrated in the Flow chart Business model based on application


FIG3: MODEL BASED ON DATA CAPTURE COST


FIG4: MODEL BASED ON APPLICATION 1

8. CONCLUSION:
GIS services originating primarily in Urban Studies and Planning and Earth, Atmospheric, and Planetary Sciences and now extending to other disciplines even in History and Political Science. In the similar way, Web 3d applications were initially started for Games and 3D Animations, now it is giving third Dimension to the GIS data. The increasing demand on Web 3D will shower lots of Business opportunities based on the discussed Business models.

REFERENCES:
  • Quadt, U., Kolbe, T. (Eds), (2005) Web 3D Service, OGC Discussion Paper, Document OGC 05-019, Version 0.3.0, http://www.opengeospatial.org/specs/
  • Bokhari, M. (2002) A Business model for the global GIS business environment, Directions magazine, Sep. 2002, http://www.directionsmag.com/article.php?article_id=244&trv=1
  • Narushige Shiode, (2001), 3D urban models: recent developments in the digital modelling of urban environments in three-dimensions, GeoJournal 52 (3), 263-269. http://www.casa.ucl.ac.uk/naru/publications/
  • Kilian Ulm, (2005), 3D city model from Aerial imagery, GEOinformatics Jan/Feb 2005. http://www.cybercity.tv/pub/2005/
  • Teija Vainio, Outi Kotala,(2002), Developing 3D Information Systems for Mobile Users, Nordichi 2002. http://portal.acm.org/
  • Duran, Z., Toz, G.,(2002) Using 3D GIS for Documentation of Historical Monument, ISPRS Commission V Symposium Close Range Imaging, Long-Range Vision, Corfu, 2-6 sep 2002 ,p.354-359. http://atlas.cc.itu.edu.tr/~duranza/
  • Stephan Nebiker(2002), Multi-scale representations for scalable and dynamic 3D geoinformation services, ISPRS/ICA Joint Workshop. http://www.ikg.uni-hannover.de/isprs/ppt-files/
  • R. Dogana, S. Doganb, M. O. Altan , (2004) 3D VISUALIZATION AND QUERY TOOL FOR 3D CITY MODELS,ISPRS COMM III http://www.isprs.org/istanbul2004/comm3/+

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