基于聚类分析法的地铁与常规公交换乘客流分析

通过对公交IC卡数据及地铁站点进出闸刷卡数据进行关联匹配,建立个体公共交通出行链,并构建了通过刷卡时间差推导地铁站点与常规公交换乘接驳量计算方法。运用层次聚类法、K-means聚类法对地铁站点进行区域分类及站点周边主导用地分类,进而开展常规公交与地铁接驳比例的聚类特征分析。结果显示,城郊结合区公交接驳比例大于中心区和外围区,居住型地铁站点公交接驳比例明显大于办公型、商业型及枢纽型站点。表明针对城郊结合区、居住型站点开展衔接设施布局规划,有利于提升轨道交通客流效益,便于构建更为有效的常规公交与轨道交通衔接一体化的公共交通系统,支撑公交都市的建设,进而缓解城市交通拥堵。

Analysis on the Transfer Passenger Flow between Bus and Subway System Based on Cluster Analysis

By correlating and matching the IC card data of bus and the data of entrance and exit of subway station, an individual public transportation trip chain is established, and a method of calculating the transfer passenger volume between the subway station and bus is built by deriving the card using time difference. By using hierarchical clustering method and K-means clustering method, the classification of metro stations and the classification of dominant land-used type around stations are carried out, and then calculate the ratio between bus and subway transfer volume through cluster analysis and find out the transfer ratio characteristics. The results show that the transfer ratio of public transportation in suburban area is higher than that in central area and peripheral area, in the same way that residential area is obviously higher than that in office, commercial and transport hub area. It indicates that the layout planning of transfer facilities for suburban area and residential area are conducive to enhance the efficiency and benefits of the rail transit system and supports the construction of integrated public transport system so as to alleviate urban traffic jam, and accelerate the construction of a real Transit City.