基于多源时空数据的轨交站点共享单车接驳空间优化设计——以天津市营口道站为例

Optimization Design of Sharing Bikes Connection Space in Subway Stations on Multi-source Data:Taking Yingkou Road Station in Tianjin as an Example

基于百度地图API、百度热力、共享单车POI等多源时空数据,运用核密度分析法,对营口道站共享单车接驳空间布点合理性、设施完备性及人车时变匹配度进行剖析。研究得出,共享单车接驳空间布点不匹配高效换乘原则、附属配套空间不匹配多元化功能需求、空间容量调配不匹配人流潮汐分布三方面特征。在人性化设计原则的基础上,采用专设位点和机非共板两种模式对空间布点进行优化,结合模块化设计对停车和配套空间进行优化,并建立多平台监测和调度微循环机制,以期为后续轨交站点共享单车接驳空间的设计提供思路。

Based on multi-source temporal and spatial data such as Baidu Map API,Baidu Heat and shared bike POI,the rationality of distribution points of shared bike connection space,facility completeness and human-vehicle time-varying matching degree of Yingkou Road station are analyzed by using kernel density analysis method.The research concludes that the spatial distribution points do not match the efficient transfer principle,the auxiliary supporting space does not match the diversified functional requirements,and the spatial capacity allocation does not match the flow and tide distribution.On the basis of humanized design principles,the two modes of dedicated points and non-common board are adopted to optimize the space distribution points,and the parking and supporting space are optimized in combination with modular design,and the multi-platform monitoring and scheduling microcycle mechanism is established,so as to provide ideas for the subsequent design of shared bike access space at orbital transit stations.