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Bicycle sharing system has emerged as a new mode of transportation in many big cities over the past decade.Since the large number of bicycle stations distribute widely in the city,it is difficult to identify their unique attributes and characteristics directly.Oriented to the real bicycle hire dataset in Hangzhou,China,the clustering analysis for the bicycle stations based on the temporal flow data was carried out firstly.Then,based on the spatial distribution and temporal attributes of calculated clusters,visual diagram and map were used to vividly analyze the bicycle hire behavior related to station category and study the travel rules of citizens.The experimental results demonstrate the relation between human mobility,the time of day,day of week and the station location.
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Basic Information:
DOI：10.19884/j.1672-5220.2016.06.024
China Classification Code:TP391.41;TP311.13
Citation Information:
[1]SHI Xiao-ying,YU Zhen-hai,XU Hai-tao ,et al.Clustering the Stations of Bicycle Sharing System[J].Journal of Donghua University (English Edition),2016,33(06):968-972.DOI:10.19884/j.1672-5220.2016.06.024.
Fund Information:
the Public Projects of Zhejiang Province,China(Nos.2016C33110,2015C33067);; National Natural Science Foundations of China(Nos.61602141,61473108,61402141)