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.
关键词
建成环境/共享单车/大数据/地理探测器/厦门岛
Key words
built environment/bike-sharing/big data/Geodetector/Xiamen Island
维普
万方数据