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International Symposium on Neural Networks

ISNN 2008: Advances in Neural Networks - ISNN 2008 pp 607–614Cite as

Research on the Factors of the Urban System Influenced Post-development of the Olympics’ Venues

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5264))

Abstract

Post-development of the Olympics’ venues is a big challenge which the Games host cities should face with the continuing development of the Olympic Games. Based on the interactive mechanism between the urban system and the Olympics’ venue projects as well as the demand theory, with the relevant statistic materials of the recent Games host cities in the Games year, this paper explores the factors of the urban system which influence post-development of the Olympics’ venues, meanwhile, applies two methods of ward cluster analysis and k-mean cluster analysis to verify the validity of the factors, per capita GDP, population, ratio of the service industries of the urban system which influence post-development of the Olympics’ venues. And the conclusion is given that these 3 factors are the important determinants of the urban system which support post-development of the Olympics’ venues, and also the base of making the strategic and tactical plans to improve the venues after the Games.

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References

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Author information

Authors and Affiliations

  1. College of Computer Science and Technology, Harbin University of Science and Technology, Harbin, Hei Longjiang, 150080, P.R. China

    Changzheng Liu & Qian Ding

  2. Automation College, Harbin Engineering University, Harbin, Hei Longjiang, 150001, P.R. China

    Yao Sun

Authors
  1. Changzheng Liu
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  2. Qian Ding
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  3. Yao Sun
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghu University, 100084, Beijing, China

    Fuchun Sun

  2. Institute TAMS (Technical Aspects of Multimodal Systems), department of Informatics, University of Hamburg, Vogt-Koelln-Straße 30, 22527, Hamburg, Germany

    Jianwei Zhang

  3. Intel China Research Center, 8/F, Peking University, Department of Machine Intelligence, 100871, Beijing, China

    Ying Tan

  4. Department of Mathematics, Southeast University, 210096, Nanjing, China

    Jinde Cao

  5. Departamento de Control Automático, CINVESTAV-IPN, A.P. 14-740, Av.IPN 2508, 07360, México D.F., México

    Wen Yu

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© 2008 Springer-Verlag Berlin Heidelberg

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Liu, C., Ding, Q., Sun, Y. (2008). Research on the Factors of the Urban System Influenced Post-development of the Olympics’ Venues. In: Sun, F., Zhang, J., Tan, Y., Cao, J., Yu, W. (eds) Advances in Neural Networks - ISNN 2008. ISNN 2008. Lecture Notes in Computer Science, vol 5264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87734-9_69

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  • DOI: https://doi.org/10.1007/978-3-540-87734-9_69

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87733-2

  • Online ISBN: 978-3-540-87734-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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