GEOGRAPHICAL RESEARCH ›› 2019, Vol. 38 ›› Issue (12): 2859-2872.doi: 10.11821/dlyj020190081

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Spatial-temporal characteristics and the influencing factors of the ride destination of bike sharing in Guangzhou city

GAO Feng1, LI Shaoying1(), WU Zhifeng1, LV Dijiang2, HUANG Guanping1, LIU Xiaoping3   

  1. 1. School of Geographical Science, Guangzhou University, Guangzhou 510006, China
    2. Guangdong Guodi Planning Technology Co., Ltd, Guangzhou 510650, China
    3. School of Geography Science and Planning, Sun Yat-Sen University, Guangzhou 510006, China
  • Received:2019-01-28 Revised:2019-03-14 Online:2019-12-20 Published:2019-12-25
  • Contact: LI Shaoying E-mail:lsy_0130@163.com

Abstract:

Since the emergence of dockless bike sharing in China, it has provided convenience and non-motorized travel mode for residents' short distance trips. Bike sharing plays an important role in improving the accessibility of public transportation and reducing the motorized pollution. At the same time, it also brings out urban issues, such as excessive amount of bike sharing, and mismatch between supply and demand of bike sharing. The main reason for these problems is the lack of accurate prediction and effective scheduling for bike sharing ride. Exploring the spatial and temporal characteristics of bike sharing ride and detecting the influencing factors can provide scientific decision-making basis for precise prediction and effective scheduling of bike sharing. Even though some studies have paid attention to the influencing factors of bike-sharing ride behaviors, most of them focused on the starting point but neglected the destination. Moreover, the temporal difference of influencing factors and the interaction between the factors were seldom revealed in the previous studies. Taking mobike in Guangzhou city as an example, this study aims to analyze the spatial and temporal characteristics of the ride destination of bike sharing. We detect the temporal differences of the influencing factors of bike sharing ride destination, and further explores the interaction between the determinants by using geographical detector. The results show that: (1) The usage of bike sharing in morning-peak time is greater than that in evening-peak time, and the spatial distribution of bike sharing ride destination has obvious temporal differences. The ride destinations of bike sharing at morning peak period are mainly distributed at CBD, zone of information industry and job-housing balance areas. While the ride destinations at evening peak period are mainly distributed along Metro Line 3 from Tiyuxi station to Huashi station as well as high-density residential areas. (2) The element of service facilities has the greatest impacts on the ride destinations of bike sharing, followed by the accessibility, land use and natural environment elements. To be more specifically, the influencing degree of the factors ranks as follows: residential communities distribution, catering facilities distribution, corporate distribution, shopping facilities distribution, road density, distance to metro station entrances and POI diversity. (3) The influence of each factor has remarkable temporal differences, for example, the influence of corporate distribution factor grows rapidly during the morning peak period. (4) The interaction effect of any two factors on the ride destinations of bike sharing is greater than the effect of one single factor. Among them, the interaction effect of factors which belong to service facilities elements are the greatest, followed by the interaction effects between factors of service facilities and accessibility.

Key words: bike sharing ride destination, spatial-temporal pattern, influencing factor, geographical detector, Guangzhou