POI大数据在城市轨道交通建设时序选择中的应用

Application of POI Big Data in Timing Selection of Urban Rail Transit Construction

城市轨道交通建设时序研究是轨道交通线网建设规划的核心内容之一,长期以来一直以定性方法为主。同时,POI等多源大数据愈来愈多地应用到城市及交通规划领域,但现有研究大多着眼于城市轨道交通运营阶段的后评价,缺少对规划建设阶段的关注。本文以福州为例,利用POI大数据对轨道交通的现状服务效益进行分析,辅助决策城市轨道交通建设规划中建设时序的选择,试图解决传统上地铁线网和建设规划定性有余而定量不足的缺点,量化分析各条地铁线路对城市的服务效果,为建设规划的线路选择和时序提供支撑。

The research on the time sequence of urban rail transit construction is one of the core contents of rail transit network construction planning, and has been based on qualitative methods for a long time. At the same time, POI and other multi-source big data are increasingly applied to the field of urban and transportation planning, but most of the existing research focuses on the post-evaluation of the urban rail transit operation stage, and lacks attention to the planning and construction stage. Therefore, this paper takes Fuzhou as an example, uses POI big data to analyze the current service benefits of rail transit, assists decision-making in the choice of construction timing in urban rail transit construction planning, and tries to solve the problem of traditional subway network and construction planning. This paper quantitatively analyzes the service effect of each subway line on the city, and provides support for the line selection and timing of construction planning.