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

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

本文选择上海GDP 作为经济指标，对上海世博会对上海经济的影响进行了计算评价和定量分析。首先，对上海世博会对上海GDP 的影响进行纵向评价。建立了上海世博会对其GDP 影响的周期性增长趋势模型。其次，对上海世博会对上海GDP 的影响进行横向评价。本文随机选取八届世博会和上海世博会作为研究对象。五个可衡量的指标是参展国家、参观人数、展览面积和上海世博会前后的GDP情况。通过模糊聚类分析，得到了上海世博会对上海GDP 影响的横向评价模型。利用模糊C 均值聚类算法(FCA)，得出上海世博会与大阪世博会属于同一类别的结论。

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).