摘要
Abstract
With the advantages of high efficiency and convenience,shared bikes are rapidly gaining popularity in China,and become an important connection mode for rail transit stations,but it also brings many problems which affect urban transportation and environment.Based on multi-source big data such as Xiamen shared bikes and urban space,this article analyzes the spatial and temporal characteristics of shared bikes travel by Python and GIS,and explores their riding characteristics and the effects concerning land use,urban environment and other aspects in the station area.Shared bikes have the characteristics of short spatial and temporal distance utilization,which provides an important support for the connecting traffic of urban subway stations.The connection and utilization of shared bikes around the station are affected by various urban factors,which also reflect the stages and differences of the station development.By analyzing the characteristics of shared bikes trips,rail transit stations can be classified into four types,and the develop strategies should be taken according to the difference of station types,to improve the urban slow traffic system,promote the development level of rail transit stations.关键词
共享单车/轨道交通站点/土地利用/供需匹配/厦门岛Key words
shared bikes/rail transit stations/land use/supply and demand matching/Xiamen island分类
建筑与水利
