Research on Olympic Games Hosting Scheme Based on Comprehensive Evaluation and Grey Prediction Model

Authors

  • Jiaqi Li
  • Haoyan Hui
  • Haonan Zheng
  • Jiuzhi Meng
  • Chenzhu Li
  • Xuhong Shen

DOI:

https://doi.org/10.54097/58yq2p45

Keywords:

AHP Model, EWM-TOPSIS Method, Comprehensive Evaluation Model, GREY Prediction Model.

Abstract

Owing to the confluence of financial, environmental, and societal pressures confronting both the host city and nation, the allure of bidding for the Olympic Games across diverse global regions is experiencing a discernible wane. In an effort to proffer a structured framework for Olympic Games bidding, this paper undertakes an initial phase of indicator selection and subsequent determination of their respective weights. We have meticulously curated a selection of the utmost fitting cities to serve as potential hosts for the grandeur of the Summer Olympic Games across the global stage. This intricate process is achieved through the confluence of methodologies including the Delphi Method, the Analytic Hierarchy Process (AHP), and the EWM-TOPSIS Method. Subsequently, guided by the Comprehensive Evaluation Model, the study identifies a pair of fitting global locales poised for the enduring stewardship of the summer and winter Olympic Games. This paper culminates in scrutinizing the feasibility of the proposed scheme. This scrutiny takes the form of an inquiry into both immediate and prolonged repercussions of the Olympic Games upon the host city or nation. Parameters of Real GDP per capita, the proportion of international trade taxes, and carbon emissions are dissected, employing the discerning capabilities of the GREY Model. The outcomes of this inquiry distinctly underscore the efficacy of the strategy involving a fixed hosting address, bolstering affirmative developmental trajectories for the host locale. This study bears substantial reference value for the Olympic Organizing Committee in its pursuit of identifying a fresh and distinctive Olympic venue.

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Published

31-12-2023