基于大数据的厦门岛建成环境对共享单车起讫点分布的影响

The Impact of Built Environment on Distribution of Origins and Destinations of Bike-Sharing in Xiamen Island Based on Big Data

不同城市肌理上的共享单车出行活动迥然相异.基于共享单车和兴趣点(POI)等多源数据,运用核密度和基于最优参数的地理探测器方法,分析厦门岛共享单车起讫点分布格局及建成环境对其影响作用.研究发现:(1)厦门岛共享单车的平均骑行距离为1.08 km,平均骑行时间为7.19 min.(2)起讫点在空间上总体呈现“一带多核”的分布特征.(3)建筑密度和人口密度是共享单车起讫点分布的核心驱动因子,中心可达性和道路交叉口密度则是主要驱动因子.(4)不同建成环境因子围绕2个核心因子形成协同增强效应,不同要素优化组合是共享单车发展的有效路径.

The bike-sharing travel activities in different urban textures are vastly different.Based on multi-source data of bike-sharing and points of interest,kernel density and Geodetector based on optimal parameters are used to analyze the distribution pattern of origins and destinations of bike-sharing in Xiamen Island and the impact of the built environment on them.Research has found that:(1)The average riding distance of bike-sharing in Xiamen Island is 1.08 km,and the average riding time is 7.19 min.(2)The origins and destinations show the spatial distribution characteristics of“one belt and multiple cores”.(3)Building density and population density are the core driving factors for the distribution of origins and destinations of bike-sharing,while central accessibility and road intersection density are the main driving factors.(4)Different built environment factors form a synergistic enhancement effect around the two core factors,and the optimized combination of different factors is an effective path for the development of bike-sharing.