Abstract:

With the aid of spatial lag model, the influence mechanism of spatial factors around public bicycle stations (PBS) is examined at the research scope of 500 m buffer zone of 363 PBS, based on the trip data from the public bicycle system in Nanshan District of Shenzhen. Factors are selected including the location of PBS, surrounding public transportation, riding infrastructure, built environment and self-correlation of adjacent stations. The research focus on the impact of different land use types where different people gather. It is found that PBS with more bus lines, more road area, longer branch road, more industrial, low-grade commercial, low-grade housing building area around has more usage at the peak time of the workdays, while PBS far away from metro station with longer of green road has less usage. The research also shows that there is a high spatial autocorrelation between different PBS. The conclusion suggests that the public bike station planning pay more attention to the surrounding environmental factors of PBS, take full account of commuting and other regular needs in the distribution and pricing of public bicycles to increase the supply in low-income population agglomeration areas combing with the characteristics of population distribution.

Key words: public bicycles, built environment, spatial lag model, Nanshan District of Shenzhen

摘要：

以深圳市南山区363个公共自行车站点的自行车使用频次及周边500 m缓冲区建成环境为研究对象, 采用空间滞后模型, 在考虑公共自行车站点区位、公共交通设施环境、自行车骑行环境和相邻站点空间自相关的基础上, 重点研究反映不同人群集聚的土地利用类型对各站点公共自行车使用频次的影响。结果表明, 工作日高峰、周边公交线路数量、周边道路用地面积、支路长度、周边工业建筑面积、低档商服建筑面积和低档住房建筑面积对公共自行车使用频次具有显著正向影响, 到最近地铁站距离和绿道长度对公共自行车使用频次具有显著负向影响, 站点间公共自行车流量具有高度空间自相关性。建议规划公共自行车站点时应重点关注周边建成环境因素, 在布点和定价时充分考虑通勤等规律性需求, 并结合人口分布特点, 增加低收入人群集聚区的供给量。

关键词: 公共自行车, 建成环境, 空间滞后模型, 深圳市南山区