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A Multiscale and Multimodal Transportation GIS for the City of Guangzhou

  • Shaopei ChenEmail author
  • Christophe Claramunt
  • Cyril Ray
  • Jianjun Tan
Conference paper
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

The search for better urban living has significantly increased the demand for efficient and sustainable multimodal transportation systems in large urban areas. This should favor emergence of balanced transportation systems that use each mode for what it does best. However, the development of urban transportation policies partly relies on the availability of appropriate data and then information. The research introduced in this paper proposes a multimodal and multiscale data model oriented to the representation of the urban transportation system of the city of Guangzhou in China. The model introduced takes into account different transportation modes and integrates them within a federated data model designed using an object-oriented approach. Such a model allows the development of specialized services designed after a survey and study of users’ and planners’ requirements. The approach is experimented in a district of the city of Guangzhou and validated by a prototype development. This experimental system enables transportation planners and decision-makers to take better decisions effectively, and provides high quality geospatial information-based services to final end-users.

Keywords

Transportation GIS Multimodal transportation network Object-oriented data modeling 

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References

  1. 1.
    Aronoff S (1989) Geographic Information Systems: A Management Perspective. Ottawa: WDL Publications, CanadaGoogle Scholar
  2. 2.
    Booch G, Rumbaugh J, and Jacobson I (1999) The Unified Modeling Language Users Guide. Addison-Wesley, Reading, Massachusetts, USAGoogle Scholar
  3. 3.
    Chen S (2008) Multi-scale and Multi-modal GIS-T Data Model: A Case Study of the City of Guangzhou, China. Unpublished PhD report, Naval Academy Research Institute, Brest, FranceGoogle Scholar
  4. 4.
    Curtin K, Noronham V, Goodchild MF and Grise S (2003). Arc GIS Transportation GIS Model, ESRI publications, Redlands, California, USAGoogle Scholar
  5. 5.
    Dewitt W and Clinger J (2000) Intermodal Freight Transportation, available at http://www.nationalacademies.org/trb/publications/millennium/00061.pdf
  6. 6.
    Etches A, Claramunt C, Bargiela A and Kosonen I (1999) An Interoperable TGIS Model for Traffic Systems. In: Innovations in GIS 6, Integrating Information Infrastructures with GI Technology, Gittings B (ed), Taylor & Francis, pp 217-228Google Scholar
  7. 7.
    Fletcher D (1987) Modelling GIS Transportation Networks. In: Proceedings of the 25th Annual Meeting of the Urban and Regional Information Systems Association, pp 84-92Google Scholar
  8. 8.
    Goodchild MF (1999) GIS and Transportation: Status and Challenges. Keynote address, International workshop on GIS-T and ITS, Chinese University of Hong Kong, Hong Kong, ChinaGoogle Scholar
  9. 9.
    Gudmundsson H (2001) Indicators and Performance Measures for Transportation, Environment and Sustainability in North America. National Environmental Research Institute, Roskilde, Denmark, available at www.dmu.dk/1_viden/2_Publikationer/3_arbrapporter/default.asp
  10. 10.
    Krygsman S (2004) Activity and Travel Choice(s) in Multimodal Public Transport Systems. Unpublished PhD report, Utrecht University, The NetherlandsGoogle Scholar
  11. 11.
    Lee-Gosselin M and Doherty ST (2005) Integrated Land-Use and Transportation Models, Elsevier Science Ltd., Oxford, UKGoogle Scholar
  12. 12.
    Litman T (2003) Mobility Management. Sustainable Transport Sourcebook. The Sustainable Urban Transport Project in Asia and GTZ; available at www.vtpi.org/gtz_module.pdf
  13. 13.
    Mac Cormack E and Nyerges T (1997) What Transportation Modelling Needs from a GIS: A Conceptual Framework. J Transportation Planning and Technologies 21, pp 5-23Google Scholar
  14. 14.
    Miller HJ and Shaw SL (2001) Geographic Information Systems for Transportation: Principles and Applications. New York: Oxford University Press, New York, USAGoogle Scholar
  15. 15.
    Peytchev E and Claramunt C (2001) Experiences in building decision support systems for traffic and transportation GIS. In: Proceedings of the 9th International ACM GIS Conference, Aref WG (ed), ACM Press, Atlanta, pp 154-159Google Scholar
  16. 16.
    Rees WE and Roseland M (1991) Sustainable Communities: Planning for the 21st Century. Plan CanadaGoogle Scholar
  17. 17.
    Rodrigue JP (2006) The Geography of Transport Systems. Comtois C and Slack B(eds), New York: RoutledgeGoogle Scholar
  18. 18.
    Stella F, Viganò V and Bogni D (2006) An Integrated Forecasting and Regularization Framework for Light Rail Transit Systems. J Intelligent Transportation Systems, 10(2): 59-73Google Scholar
  19. 19.
    Thill JC (2000) Geographic Information Systems in Transportation Research, Elsevier Science Ltd., Oxford, UKGoogle Scholar
  20. 20.
    Wang B, Li JW, and Deng XD (2006) The New Idea of Advancing LOS of PT in Urban Central Area-A Case Study of Circle Light Bus in Tianhe Area. J Chongqing Jiaotong University. 25(4): 113-115Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Shaopei Chen
    • 1
    Email author
  • Christophe Claramunt
    • 1
  • Cyril Ray
    • 1
  • Jianjun Tan
    • 1
  1. 1.Guangzhou Institute of GeochemistryChinese Academy of SciencesGuangzhouChina

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