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基于消除趋势波动分析的上海世博会场馆排队分析
Analysis on Queuing Behaviors in Shanghai World Expo Based on Detrended Fluctuation Analysis
【摘要】 2010年,上海市举办了第41届世界博览会,愈7 300万的参观人次也创下了历届之最.如此巨大的参观人次势必造成大量场馆特别是热门场馆的排队和等待现象。研究排队和等待现象的时间关联性,有助于引导参观人群合理选择场馆、提高参观效率,同时避免过度拥挤酿成事故.为此,引入消除趋势波动分析法,利用各场馆日平均排队长度和日平均等待时间数据,分析其长时程关联性.测试表明,大部分场馆的排队和等待现象呈现长时程正相关性,部分热门场馆呈现长时程反相关性.
【Abstract】 In 2010,the 41st World Expo was held in Shanghai.More than 73 million visitors visited the Expo and created a new record.Such a huge number of visitors cause queuing and waiting phenomena around popular pavilions.Noticing that the time correlation of queuing length and waiting time helps visitors better choose their desired pavilions,a detrended fluctuation analysis(DFA)method to analyze the potential long-range dependence of queuing behaviors.The results show that the queuing length time series of most pavilions yield the long-range correlations;while some of popular pavilions yield the long-range anti-correlation.
【Key words】 Shanghai World Expo; detrended fluctuation analysis; long-range correlation;
- 【文献出处】 上海理工大学学报 ,Journal of University of Shanghai for Science and Technology , 编辑部邮箱 ,2013年04期
- 【分类号】O226
- 【被引频次】1
- 【下载频次】150