基于多维数据的常规公交时空客流分析  

Time and space passenger flow analysis of conventional public transport based on multidimensional data

作　　者：马伯浩 布少聪 夏非凡 桑丽 MA Bohao;BU Shaocong;XIA Feifan;SANG Li(China Highway Engineering Consulting Co.,Ltd.,Beijing 100089,China;Checc Data Co.,Ltd.,Beijing 100097,China)

机构地区：[1]中国公路工程咨询集团有限公司,北京100089 [2]中咨数据有限公司,北京100097

出　　处：《中国高新科技》2021年第10期125-127,共3页

摘　　要：文章利用多维数据融合技术,在结合公交IC卡、车辆GPS等传统数据基础上,融合手机支付、BRT、地铁等数据,采用出行链理论与下车概率模型相结合的方式,提出了基于多维数据的常规公交客流分析方法,揭示客流出行时空特征和换乘规律。This article uses multidimensional data fusion technology to integrate mobile payment,BRT,subway and other data based on traditional data such as bus IC card and vehicle GPS,and uses the combination of travel chain theory and the probability of getting off the bus.The conventional bus passenger flow analysis method based on multi-dimensional data reveals the temporal and spatial characteristics of passenger flow and transfer rules.

关 键 词：客流 公交IC卡 公交出行链 

分 类 号：P208[天文地球—地图制图学与地理信息工程]