铁道运输与经济2025,Vol.47Issue(5):75-84,10.DOI:10.16668/j.cnki.issn.1003-1421.2025.05.07
基于多类别空间轨迹数据和多类型旅客类型划分的区域旅客出行特征研究
Regional Passenger Travel Characteristics Based on Multi-Class Spatial Trajectory Data and Multi-Type Passenger Classification
摘要
Abstract
By classifying passenger travel based on travel scopes and operational attributes of vehicles and considering passengers of non-operational private vehicles and transit passengers unrelated to regional economic development,a calculation model for regional passenger travel characteristics covering the total regional passenger volume,transit passenger volume,and non-transit passenger volume was constructed.Comparative advantages of traditional statistics of the transportation industry,operating charge data,and mobile signaling data were utilized to strengthen mutual complementation and verification of different data sources and improve the accessibility and accuracy of model parameters.A case study of Hubei Province in 2023 was implemented to verify the validity and practicability of the proposed model.The results show that the model can be used to analyze passenger travel characteristics of transportation networks in Hubei Province.The transit passenger volume in Hubei Province in 2023 is 261 million,contributing an important part to the regional passenger volume.The private passenger vehicle accounts for 65.3%of the total passenger transportation in Hubei Province,making it the most common mode of transportation for passengers in Hubei Province.关键词
交通工程/多源数据/非营运性客运/过境客运量/非过境客运量/客运总量Key words
Traffic Engineering/Multi-Source Data/Non-Operational Passenger Transportation/Transit Passenger Volume/Non-Transit Passenger Volume/Total Passenger Volume分类
交通运输引用本文复制引用
崔愿,陈璟,廖向东,孙相军,李可..基于多类别空间轨迹数据和多类型旅客类型划分的区域旅客出行特征研究[J].铁道运输与经济,2025,47(5):75-84,10.基金项目
国家社会科学基金重大项目(20ZDA086) (20ZDA086)
交通运输部规划研究院项目(031914-322,092314-002) (031914-322,092314-002)