COVID-19 is a global pandemic with the broadest impact on human experience in the past 100 years.Exploring the changes of traffic operation in different cities during the COVID-19 epidemic is crucial for traffic operation under the current epidemic situation,which can provide reference for ur-ban traffic management under similar situations in the future.Urban traffic operation can be character-ized by traffic health index,congestion delay index and other data.Hence,this paper collects the data of traffic delay index,average speed and traffic health index of ten major cities for nearly a month in the post COVID-19 period.Through correlation analysis,linear regression,k-means clustering analysis and other methods,this paper explores the relationship between traffic health index and congestion de-lay index or average speed from multiple perspectives.Based on the congestion delay index,the study period is divided into four stages:the epidemic impact period,the epidemic stability period,the re-sumption of work and production period,and the Spring Festival impact period.The differences and similarities of traffic conditions in different cities are explored in different situations such as rush hour,the epidemic and the Spring Festival.The results show that under the influence of epidemic and the Spring Festival,the traffic health index can still be linearly represented by the congestion delay index or the average vehicle speed,which means that the traffic health index has a certain degree of redun-dancy.We can use more accessible data to describe the traffic operation of the city,such as the conges-tion delay index.What's more,the epidemic has a great impact on the imbalance of travel in the morn-ing and evening peak hours during holidays.That means,in the post COVID-19 period,travel conges-tion in the morning and evening peak hours during holidays varies,even reaching 40%.
关键词
城市交通/交通运行状况/聚类分析/拥堵延时指数/后疫情时代
Key words
urban traffic/traffic conditions/k-means clustering algorithm/traffic congestion index/post COVID-19 period
维普
万方数据