基于上海交通卡数据的公交出行链推算技术  

Extracting Trip Chains of Public Transport from Transaction Records of Shanghai Public Transportation Card

作　　者：王鼎元 Wang Dingyuan

机构地区：[1]上海市交通发展研究中心

出　　处：《交通与港航》2022年第4期97-101,共5页Communication & Shipping

基　　金：上海市科委项目“公交客流动态分析及线网诊断优化技术研究”(项目编号:19DZ1208905)支持。

摘　　要：公交电子支付手段已经覆盖到了大部分人群,其交易数据可以用于从微观层面分析公共交通出行需求。该文从上海交通卡和乘车码的交易记录、公交车定位数据、电子路单数据出发,推算了每条记录的上下车站点,构建出乘客的出行链;提出了公交站点聚类融合的方法,POS机与车辆的匹配方法,以及上下车站点的推算方法。将推算出的出行OD按比例扩样,即可统计站点、线路、OD上的客流特征,为交通规划和线路运营调整提供细致的数据支撑。Nowadays bus E-payment methods can cover most of the public transportation travelers.The transaction data can be used to analyze public transportation travel demand at the microscopic level.In this paper,we deduce the boarding and alighting stations of each transaction record of Shanghai Public Transportation Card and bus QR Code,using Auto Vehicle Location data,and bus trip records.The travel chains of passengers are then constructed.This paper proposes methods for clustering bus stops,matching POS terminals with vehicles,and inferring boarding and alighting stops.By scaling the derived trip ODs,we can observe the traffic characteristics on bus stops,on bus routes and between OD pairs.Traffic planning departments and bus operators can improve their services based on this detailed data.

关 键 词：交通卡数据 公交出行链 客流OD 

分 类 号：U491.17[交通运输工程—交通运输规划与管理]