基于LBS大数据的长沙市职住平衡与通勤交通分析

Jobs-housing balance and commuter traffic analysis in Changsha based on LBS data

基于百度地图位置通勤大数据,以长沙市为例探索互联网位置大数据在城市通勤交通研究中的分析应用。首先测度长沙市各组团片区的职住空间和职住平衡特征并进行比较和分类,其次分析影响职住空间特征的主要因素。研究表明,两个次中心已经在逐渐崛起,其余五个组团的中心也已具备雏形,但主要的岗位供给仍集中在中心片区,长沙市仍是一个强中心城市。最后对长沙市的未来城市通勤交通提出发展建议。

Based on Baidu LBS big data,this paper explores the analysis and application of big data in urban commuting traffic research,taking Changsha as an example.First,measure and classify the characteristics of work and living space and work and living balance of each area in Changsha,and then analyze the main factors affecting the characteristics of work and living space.The study shows that two sub centers have gradually emerged,and the centers of the other five areas have also taken shape,but the job supply is still concentrated in the central area,and Changsha is still a strong central city.Finally,suggestions for the future development of urban commuting in Changsha are put forward.