摘要
利用手机信令数据了解人口规模、职住分布、出行特征等指标,有助于城市空间规划与设施布局等的应用研究。原始手机信令数据需要经过一系列算法处理,才能提炼、分析相应指标。首先对手机信令数据的处理流程进行梳理,再介绍数据处理的关键算法及其参数确定方法,最后结合应用实践,对案例城市的人口岗位分布、居民出行特征及通勤特征开展分析,相关流程及方法可为类似项目提供参考。
Mobile signaling data is used to understand indicators such as population scale,occupational and residential distri-bution,and travel characteristics,which can support application research on urban spatial planning and facility layout.The original cellular signaling data need to be processed by a series of algorithms to obtain the analysis results.Firstly,the re-search describes the process of data calculation and introduces the key algorithms and their parameter determination methods.Finally,through the application practice,the data are used to analyze the urban job-distribution,resident travel characteris-tics and urban commuting travel characteristics.The relevant processes and methods can provide reference for similar projects.
作者
李秋曼
Li Qiuman(Huajiaoke(Shanghai)Planning and Design Co.,Ltd.,Shanghai 200433,China)
出处
《现代交通技术》
2023年第5期84-88,共5页
Modern Transportation Technology
关键词
手机信令数据
交通出行特征
停留点识别
mobile signaling data
traffic travel characteristic
stay point identification