【摘要】 以兰州市为例,从导致兰州市交通拥堵的一系列因素入手,运用因子分析法提取公因子,再利用聚类分析发掘各路口之间的相关性。运用主成分分析法提取主成分,通过对比总结造成兰州市交通拥堵的深层次原因。因子分析法提取出的两个公共因子分别为地形因子和车量因子,表明其对兰州市交通状况影响较大。主成分分析结果表明,机动车流量、非机动车流量、引道延误的累积贡献率分别为43. 771 2%,37. 655 8%,10. 336 5%。两者的分析结果都表明,地形和车流量是制约兰州市交通发展的主要因素。更多还原

【Abstract】 Taking Lanzhou City as an example,starting from a series of factors that cause traffic congestion in Lanzhou City,factor analysis is used to extract common factors,and then cluster analysis is used to explore the correlation between intersections. The principal component analysis method is used to extract the principal components,and the deep-seated causes of traffic congestion in Lanzhou City is summarized. The two common factors extracted by the factor analysis method are the terrain factor and the vehicle factor,indicating that it has a greater impact on the traffic conditions in Lanzhou City. The results of principal component analysis show that the cumulative contribution rates of motor vehicle flow,non-motor vehicle flow,and approach delay are43. 771 2%,37. 655 8%,and 10. 336 5% respectively. Both of the analysis results indicate that the terrain and traffic flow are the main factor restricting the development of traffic in Lanzhou City.更多还原