城市公共交通通勤者活动出行链构建与特征提取方法  

A Method for Construction and Characteristic Extraction of Urban Public Transportation Commuter Activity Trip Chaining

作　　者：周航 陈学武[2,3,4] ZHOU Hang;CHEN Xuewu(Hangzhou City Planning&Design Academy,Hangzhou 310020,China;Jiangsu Key Laboratory of Urban ITS,Southeast University,Nanjing 211189,China;Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies,Southeast University,Nanjing 211189,China;School of Transportation,Southeast University,Nanjing 211189,China)

机构地区：[1]杭州市规划设计研究院,杭州310020 [2]东南大学江苏省城市智能交通重点实验室,南京211189 [3]东南大学现代城市交通技术江苏高校协同创新中心,南京211189 [4]东南大学交通学院,南京211189

出　　处：《交通工程》2022年第1期22-28,34,共8页Journal of Transportation Engineering

基　　金：国家自然科学基金重点项目(No.51338003).

摘　　要：为了深入掌握城市公交通勤者的活动和出行特征,提升既有公共交通刷卡数据与活动交易等数据的应用价值,提出活动出行链构建与特征提取方法.本文明确活动出行链应包括活动链标识、活动属性和出行属性3项类别的17个字段,通过对活动类型的更新、活动出行记录的填补与合并,得到活动出行链构建结果.同时,从日常活动和通勤出行2个角度,制定了公交通勤者活动出行特征分析的4层指标体系,包括活动频次、活动空间多边形面积、非工作活动习惯、通勤方式、公交/小汽车通勤时耗比等12个特征指标,并结合ArcGIS等地理信息系统分析软件进行指标提取方法阐述.通过南京样例数据的活动出行链构建以及在此基础上的部分指标提取结果示意,可知方法可行.活动出行特征指标提取结果,可为后续活动出行特征分析和公交相关设施优化提供数据基础和参考依据.In order to gain a deep understanding of the activities and trip characteristics of urban public transportation commuters,and improve the application value of existing public transportation card data and activity transaction data,a method for constructing an activity-trip chain and characteristic extraction is proposed.This paper clarifies that the activity-trip chain should include 17 fields in three categories:activity chain identification,activity attribute and trip attribute.Through the update of activity types and filling and merging of activity records and trip records,the result of the construction of the activity-trip chain is obtained.At the same time,from the perspectives of daily activities and commuting trips,a four-tier indicator system for public transportation commuter activity-trip characteristics analysis is developed,including 12 characteristic indexes such as activity frequency,polygonal area of activity space,non-work activity habits,commuting methods,public transportation-car commuting time consumption ratio,and combines with geographic information system analysis software such as ArcGIS to carry out the index extraction method.Through the construction of the activity travel chain based on the Nanjing sample data and the results of partial index extraction based on this,it can be seen that the method is feasible.The results of activity-trip characteristic index extraction can provide a data basis and reference basis for subsequent activity trip characteristic analysis and optimization of public transportation facilities.

关 键 词：城市交通 公共交通 活动出行链 活动出行特征指标 

分 类 号：U491[交通运输工程—交通运输规划与管理]