Research on Olympic Games Hosting Strategy Based on Multimodal Analysis
DOI:
https://doi.org/10.54097/m7vpmx53Keywords:
Olympic, AWP-EWM-TOPSIS, Cluster analysis.Abstract
In order to study the impact of the strategy of hosting the Olympics in all seasons, the data of four indicators of latitude, temperature and suitability of the 36 host cities collected were used to calculate the rating of each city in different seasons by using an AHP-EWM-TOPSIS (AET) based model, and the ideal cities for hosting the Olympics in each season were derived in a hierarchical manner by coupling the most suitable cities for each season. It was found that using a strategy of hosting the Olympics in four seasons provides a significant economic boost(21.65%) to the host city, but it also results in a significant loss of reputation(-15.02%). Finally, to explore additional possibilities that could help solve the Olympic dilemma, we developed innovative strategies for multiple neighboring city clusters to host the Games. We collected the number of neighboring cities, available land area, GDP per capita, and carbon emissions for 36 core cities, calculated scores for each city cluster using AET, and used cluster analysis to identify the most suitable city clusters to host the Olympics, plus weighting to calculate new weights, concluding that this clustering model would improve the economy (3. 42%) and environment (6.57%) of the city clusters, but would also lead to a regression in reputation (-7.55%).
Downloads
References
Jiang, Z., Liu, Z., Xu, J., Wu, M., Xie, X., & Hou, Y. (2021). An Integrated Energy System Evaluation Method Based on FAHP-EWM-TOPSIS. International Electrical and Energy Conference. IEEE.
MEI Fei,TIAN Wan-nian & GUO Can.(2021).Global food system assessment and optimization in terms of sustainability and equity. Ecological Economy (03), 162-175.
Moori, A., Barekatain, B., & Akbari, M. (2022). Latoc: an enhanced load balancing algorithm based on hybrid ahp-topsis and opso algorithms in cloud computing. Journal of supercomputing (4), 78.
Macharis, C., Springael, J., & Brucker, K. D. (2002). PROMETHEE and AHP: the design of operational synergies in multi-criteria analysis - What Promethee can learn from AHP and vice-versa.
Kurttila, M., Pesonen, M., Kangas, J., & Kajanus, M. (2000). Utilizing the analytic hierarchy process (ahp) in swot analysis — a hybrid method and its application to a forest-certification case. Forest Policy and Economics, 1(1), 41-52.
Asegaf, M. M., Arfianti, U. I., & Hamdani, A. R. (2022). Implementasi metode k-means clustering dalam pengelompokan penyebaran covid-19 di Surabaya. OSF Preprints.
Agalya, V., Kandasamy, M., Venugopal, E., & Maram, B. (2022). Cpro: competitive poor and rich optimizer-enabled deep learning model and holoentropy weighted-power k-means clustering for brain tumor classification using MRI. International journal of pattern recognition and artificial intelligence (4), 36.
Gar, L. A., & Gordaliza, A. (2022). Adaptive trimmed k-means for heterogenous groups.
Asegaf, M. M., Arfianti, U. I., & Hamdani, A. R. (2022). Implementasi metode k-means clustering dalam pengelompokan penyebaran covid-19 di Surabaya. OSF Preprints.
Ilbeigipour, S., Albadvi, A., & Noughabi, E. A. (2022). Cluster-based analysis of covid-19 cases using self-organizing map neural network and k-means methods to improve medical decision-making. Informatics in medicine unlocked, 32, 101005.
Piya, S., Shamsuzzoha, A., Azizuddin, M., Al-Hinai, N., & Erdebilli, B. (2022). Integrated fuzzy ahp-topsis method to analyze green management practice in hospitality industry in the sultanate of Oman. Sustainability, 14.
Balcilar, M., Ozdemir, H., & Agan, B. (2022). Effects of covid-19 on cryptocurrency and emerging market connectedness: empirical evidence from quantile, frequency, and lasso networks. Physica A: Statistical Mechanics and its Applications, 604.
Yakn, E., Raynal, P., & Chabrol, H. (2021). Not all personal definitions of healthy eating are linked to orthorexic behaviors among french college women. A cluster analysis study. Appetite, 162(1), 105164.
Yakin, P. (2021). Not all personal definitions of healthy eating are linked to orthorexic behaviors among french college women. A cluster analysis study. Appetite, 162(1).
Shum, W., Ma, N., Lin, X., & Han, T. (2021). The major driving factors of carbon emissions in china and their relative importance: an application of the lasso model. Frontiers in Energy Research.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
