Computational Evaluation and Quantitative Analysis of the Impact Factor of Large-Scale Events: A Case Study of the 2010 Shanghai World Expo

Abstract

This paper conducts a computational evaluation and quantitative analysis of the impact of the Shanghai Expo on the economy of Shanghai, utilizing Shanghai’s GDP as the primary economic indicator. Initially, a vertical assessment of the Shanghai Expo’s influence on Shanghai’s GDP is undertaken, establishing a trend model that shows a periodic increase in the Expo’s impact on GDP. Subsequently, a horizontal evaluation of the Shanghai Expo’s impact on Shanghai’s GDP is performed, focusing on the Shanghai Expo alongside eight other Expos as research subjects. Five measurable indicators—participating countries, attendance numbers, exhibition area, and pre- and post-Shanghai Expo GDP situations—are selected for analysis. Utilizing fuzzy clustering analysis, a horizontal impact evaluation model of the Shanghai Expo on Shanghai’s GDP is developed. The study concludes that the Shanghai Expo and the Osaka Expo fall within the same classification using the Fuzzy C-mean Clustering Algorithm (FCA).