Abstract
This paper made effective spatial agglomeration for 10 venues of the Nanjing 2014 Summer Youth Olympic Games based on Fuzzy Clustering. The conclusions of this paper will benefit to the classification of the Olympic stadia, to the integration of the resources, to the healthy development as well as sustainable utilization of the stadia. On the one hand, it will give reference for managers to adjust the present operational planning. On the other hand, it will also be evidence for mangers to select the operational pattern and it is also of exploratory significance for the future operational program of all kinds of venues.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Andranovich G et al (2002) Olympic cities: lessons learned from mega-event politics [J]. J Urban Aff 23(2)
Baim D The post-games utilization of Olympic venues and the economic impact of the Olympics after the games [C]. In: Proceeding of 1st Olympic Economy and City Development and Cooperation Forum.
Dai C (2007) Recycle economy and building and management of stadia [J]. Bus Situation 4:8
Gui X, Jin W, Hu Y (2005) Fuzzy cluster analysis and its application in transportation planning [J]. Transp Computer 2:80–83
Hu X (1995) Design of methods and model for multi-factor comprehensive scaling of sports stadiums and gymnasiums. J China Sports Sci Assoc 15(6):1–4
Hui Y, Wang Z (Dec. 2007) Establishment of performance evaluation index system of sports venues in universities. J Inner Mongolia Norm Univ 20(12):1–4
Li C, Wang H, Jiang M, Feng Y (2009) Research on the sustainable utilization of sport venues in Qinhuangdao after Beijing Olympic games. Constr Econ 2:1–4
Li C, Wang H, Cao Z, Jiang M (Dec. 2008) Research for the sustainable utilization of sport venues in Qinhuangdao after Beijing Olympic Games. J Hebei Norm Univ Sci Technol 22(4):1–4
Liu B, Zou Y (2006) Benefit target of large-scale stadium from the angle of the public economics [J]. J Shandong Inst Phys Educ Sports 10:24–26
Ma X, Xu G (2008) Research on the sustainable utilization of Beijing Olympic venues. China Market 5:1–2
McKay M et al. Reaching beyond the gold: the impact of the Olympic games on real estate markets [M]. www.joneslanglasalle.com.hk.
Pruess H (2002) The economics of Olympic games [M]. Walla Walla Press, Sydney
Wang Z, Zhan W (2008) Research on performance evaluation index system of Olympic venues [J]. Stat Decis 5:80–82
Yang W (2007) Research on tax decision support system based on fuzzy cluster analysis [J]. Bus Res 5:40–41
Zhang Y (Oct. 2005) Factors for assessing the performance of exhibition venues. J Guangzhou Univ 4(10):1–4
Zhao Y (2008) Research on management and sustainable development of large-scale stadia [J]. Knowl Econ 11:126–127
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Peng, T., Rong, P., Liu, J. (2011). Research on Stadia Operation of Nanjing Summer Youth Olympic Games Based on Fuzzy Clustering. In: Wu, D., Zhou, Y. (eds) Modeling Risk Management for Resources and Environment in China. Computational Risk Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18387-4_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-18387-4_16
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-18386-7
Online ISBN: 978-3-642-18387-4
eBook Packages: Business and EconomicsBusiness and Management (R0)