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Dynamic pricing analysis of redundant time of sports culture hall based on big data platform

  • Rui Jiang
  • Yingping LiEmail author
Original Article

Abstract

Sports play an important role in people’s physical health and mental regulation. The choice of sports venues is closely related to people’s age, income, and leisure time and consumption level. Traditional sports cultural halls have some drawbacks in operation time and pricing mode, which lead to waste of space resources, unbalanced net profit, and weak consumption intention. Based on operation mode of traditional sports cultural hall, this paper analyzes the game relationship between profit and consumption intention of sports cultural hall. By constructing a large data platform of the pricing model and using mathematical statistics and support vector machine, the dynamic pricing strategy of the spare time of sports cultural hall is formulated. By comparing different pricing strategies, the overall profit of sports cultural hall has been greatly improved. And the optimal strategy of adjusting pricing dynamically with time is obtained, which provides an effective method for research of the dynamic pricing strategy.

Keywords

Sports cultural hall Big data Dynamic pricing Support vector machine 

Notes

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2020

Authors and Affiliations

  1. 1.School of Physical EducationJiujiang UniversityJiujiangChina
  2. 2.School of Economics and ManagementJiujiang UniversityJiujiangChina

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