基于OD反推的上海城市快速路网行驶距离分析  

Travel Distance Analysis of Shanghai Urban Expressway Network Based on OD-estimation

作　　者：李敏 邵敏华[1] LI Min;SHAO Minhua(The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 201804, China)

机构地区：[1]同济大学道路与交通工程教育部重点实验室,上海201804

出　　处：《交通科技》2021年第6期115-119,共5页Transportation Science & Technology

基　　金：上海市社会发展科技攻关项目(20dz1202702)资助。

摘　　要：获取快速路网的交通出行分布OD矩阵可支持快速路出行距离分析。文中基于交通流理论的逻辑判断,以上海快速路作为研究对象,对检测器数据进行质量分析并应用TransCAD软件反推OD矩阵,利用该OD矩阵从年份、工作日及周末、高峰小时不同时间颗粒度出发,分析快速路的出行量、车公里数及出行距离。结果表明,受新冠疫情影响,2020年相较于2017-2019年出行量显著下降,出行距离有所提升;2019年早高峰下短距离出行(0~6 km)占比较高,达到了60.89%。Travel distance is an important indicator to reflect the operating state of urban expressways which are originally designed for medium-distance and long-distance travel.The Origin-Destination(OD)matrix of the expressway network can strongly support analysis of the travel distance.By deriving the traffic volume information of Shanghai expressways based on the detector data which is filtered by the logical judgment of traffic flow theory,TransCAD is utilized to backtrack the OD matrix.The numbers of trips,vehicle mileages,and travel distances of expressways are analyzedby the OD matrix with considering the impact of different time in terms of years,weekdays,weekends,and peak hours.Results show that there are obviously less travel volume and longer travel distance in 2020 than in 2017-2019 due to the impact of COVID-19,and the proportion of short-distance travel in 2019 accounts for a high proportion,reaching 60.89%.

关 键 词：数据有效性 OD矩阵 OD反推 TRANSCAD 出行距离 

分 类 号：U491[交通运输工程—交通运输规划与管理]