Characteristics of public bicycle usage in Ningbo city based on big data mining

doi:10.13474/j.cnki.11-2246.2019.0285

Abstract

Abstract: Based on IC big data of public bicycle usage, the open data of POI, GIS regional attribute data of Ningbo city, the softwares of ArcGIS10.2 and SPSS22.0 are applied to mine the characteristics of Ningbo city's public bicycle usage. The results show that:① There is temporal-spatial difference in public bicycle usage. There is ring structure in public bicycle usage in space. There are bigger amount of public bicycle usage, weaker pickup-return tidal ratio, higher berthutilization rate in inner city than those in both the outer ring layer and the peripheral area in Ningbo city. ② The properties of land use led to a significant impact on the public bicycle usage in Ningbo city. There are positive correlation to the public bicycle usage, such as population density, POI(medical insurance, educational institutions, catering services, park), the morning rush hour and the evening rush hour. Also there are negative correlation to the public bicycle usages, such as the number of subway stations, corporate enterprises, landuse of green fields and public squares.

Key words: public bicycle, big data, GIS, urban spatial structure, Ningbo City

CLC Number:

P208

MEI Siyu, QIAO Guanmin, SHAO Lixia, WANG Jie. Characteristics of public bicycle usage in Ningbo city based on big data mining[J]. 测绘通报, 2019, 0(9): 55-61.

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