摘要
常规公交是城市公共交通的主体,基于出行特征对公交乘客进行群体划分是实现常规公交精细化管理的基础本文基于厦门常规公交IC卡刷卡数据,采用改进BIRCH层次聚类算法的二阶聚类算法,将公交乘客按照出行频率和稳定性划分为不同的常规公交出行模式,并对不同出行模式进行分析研究方法可为常规公交乘客出行特征聚类分析提供新的算法思路,有助于针对不同出行群体制定有针对性的政策措施.
Conventional public transportation is the main body of urban public transportation.The group division of bus passengers according to the characteristics of travel is the basis for realizing the refined management of conventional public transportation.In this paper,we use the two-step clustering algorithm of the improved BIRCH hierarchical clustering algorithm to classify the bus passengers based on the travel data of Xiamen conventional bus IC card in December 2017,and divide the passengers into different modes according to the travel frequency and stability and analyze the regular bus travel modes of different groups.The research method can provide a new algorithm for the analysis of the characteristics of conventional bus passenger travel clusters,and help toformulate targeted policy measures for different travel groups.
作者
张懿木
黄永燊
李健
胡新宇
ZHANG Yimu;HUANG Yongshen;LI Jian;HU Xinyu(Urban Transportation Research Institute,Tongji University,Shanghai 201804,China;Comprehensive Traffic operation and information Coordination Center,Xiamen 361001,China;The Key Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University,Shanghai 201804,China;China International Economic Consultants Overseas Consulting Company Limited,Beijing 100048,China)
出处
《综合运输》
2020年第3期120-126,共7页
China Transportation Review
基金
国家重点研发计划:城市交通“状态迁移-态势演化”的敏捷预测与可靠推演(2018YFB1601100)
福建省交通运输科技项目:轨道交通运营初期厦门市公共交通客流动态监测与出行特征分析(2017Y062)。
关键词
城市交通
出行特征
二阶聚类算法
IC卡数据
出行模式
Urban transport
Travel characteristics
Two step cluster algorithm
IC card data
Travel mode
