摘要
就业岗位是交通需求建模的基础数据,包括不同类型岗位的空间分布及其出行特征。将手机信令大数据与“三调”用地数据、交通模型、“七普”数据、年鉴数据等进行融合分析,实现信令大数据中职住数据、出行数据的精细化扩样及其与地块性质的关联,并进一步对各类就业岗位的出行特征进行研究,包括岗位密度、交通吸引率、通勤距离、通勤速度、交通强度时变等。同时,对南昌市各类就业岗位跨赣江出行特征进行分析。研究成果可作为交通需求建模的基础参数,也可用于交通评价、交通承载力分析等。
Jobs are the basic data for travel demand modeling,including spatial distribution and travel characteristics of different types of jobs.By fusing and analyzing the large data of mobile phone signaling with the data of the 3rd land and space survey,travel model,7th National population census data,Yearbook data,etc.,the detailed sample expansion of occupational and residential data and travel data in signaling big data and their correlation with land property are realized,and the travel characteristics of various employment positions are further studied,including job density,traffic attraction rate,the commuting distance,speed and traffic intensity time-varying,and so on.At the same time,the characteristics of travel across Ganjiang river by various employment posts in Nanchang are analyzed.The research results can be used as basic parameters of travel demand modeling,traffic impact analysis and traffic carrying capacity analysis.
作者
魏星
王进
刘玮
卢亮
WEI Xing;WANG Jin;LIU Wei;LU Liang(Nanchang Urban Planning&Design Institute,Nanchang 330038,China)
出处
《交通与运输》
2022年第2期16-21,共6页
Traffic & Transportation
