Olympic Games Site Selection Based on EWM-TOPSIS
DOI:
https://doi.org/10.54097/hset.v60i.10337Keywords:
Olympic, Site selection, EWM-TOPSIS.Abstract
Due to the high cost and lack of benefits of reporting the Olympic Games, the incentive for countries to host the Games has declined significantly in recent years, and the number of countries applying to host the Games has decreased. This paper attempts a new option for hosting the Olympic Games - a fixed venue location. In order to identify a permanent venue for the summer and winter seasons respectively, this paper selects the most suitable option from countries that have hosted either the summer or winter Olympic Games. The EWM-TOPSIS model was used to calculate the scores of each venue, and the best venue for the Summer Olympics was calculated to be London, and the best venue for permanent Winter Olympics was Lake Placid, USA.
Downloads
References
Hong, E. (2018). Sustainable Olympics: A systematic review. Sustainability, 10(4), 1197.
Chalkley, B., & Essex, S. (2019). The decline in Olympic bids: What are the implications? Journal of Policy Research in Tourism, Leisure and Events, 11(1), 15-34.
Vincent T. How to explain Olympic Games cost overruns in terms of Project Management1, 2[J]. 2019.
Xu Lei. The Risk Assessment of Olympic Cost Overrun Based on AHP[J]. Value Engineering,2020,39(15):26-27.
Brownell, S. (2016). Can the Olympic Games be saved? The American Journal of Sports Medicine, 44(1), 1-2.
Scientific Platform Serving for Statistics Professional 2021. SPSSPRO. (Version 1.0.11)[On line Application Software]. Retrieved from https://www.spsspro.com.
Shih H S, Shyur H J, Lee E S. An extension of TOPSIS for group decision making[J]. Math ematical & Computer Modelling, 2007, 45(7):801-813.
Jia Kaihua, Yu Yunxia, Fan Xiubo, Li Maoxuan, Wang Dong, Tang Cuicui, Ji Zhang. Com prehensive evaluation of multi-energy complementary systems based on AHP-EWM com prehensive weighting and TOPSIS method [J/OL]. China Electric Power: 1-13 [2023-04-02] http://kns.cnki.net/kcms/detail/11.3265.TM.20230330.1326.002.html
Luo Ziyuan, Tian Jian, Ding Strongluo, Wang Ning, Zeng Jian. Rain and flood disaster risk assessment in Xiamen based on entropy weighted TOPSIS and neural network composite method [J]. Disaster Science, 2022,37 (04): 184-192
Wang Wei. Software project risk assessment based on entropy weight TOPSIS [J]. Project Management Technology, 2022,20 (02): 102-107
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







