[1] 蒋源,陈小鸿,徐晓敏,等.公共自行车接驳轨道交通服务范围研究[J].交通运输系统工程与信息,2018,18(S1):94-102. [2] 裴玉龙,潘跃.城市轨道交通站点接驳设施规模预测方法[J].交通信息与安全,2018,36(4):106-112. [3] 周强,吴戈,孙瀚.作为地铁接驳手段的公共自行车使用特性分析[J].交通运输系统工程与信息,2015,15(3):179-184. [4] 沈翔. 基于城市轨道交通换乘的公共自行车租赁点选址规划研究[D].西安:长安大学,2015. [5] YANG M, LIU X, WANG W, et al. Empirical analysis of a mode shift to using public bicycles to access the suburban metro: survey of Nanjing,China[J].Journal of Urban Planning&Development,2016,142(2):237-239. [6] VOGEL P, GREISER T, MATTFELD D C. Understanding bike-sharing systems using data mining: exploring activity patterns[J]. Procedia - Social and Behavioral Sciences, 2011, 20(1):514-523. [7] 许丹丹. 北京市公共自行车系统优化关键技术研究[D].北京:北京工业大学,2017. [8] 叶益芳.城市轨道交通车站不同接驳方式合理吸引范围研究[J].铁道运输与经济,2014,36(6):77-81. [9] LAI J Z C, HUANG T J. Fast global k-means clustering using cluster membership and inequality[J]. Pattern Recognition, 2010, 43(5):1954-1963. [10] 牛丹丹,段宗涛,陈柘,等.城市出租车乘客出行特征可视化分析方法[J].计算机工程与应用,2019,55(6):237-243. [11] ZHANG J Q, QIU P Y, DUAN Y C, et al. A space-time visualization analysis method for taxi operation in Beijing[J]. Journal of Visual Languages & Computing, 2015, 31(31):1-8. [12] GEBHART K, NOLAND R B. The impact of weather conditions on bikeshare trips in Washington, DC[J]. Transportation, 2014, 41(6):1205-1225. [13] LOAIZA-MONSALVE D, RIASCOS A P. Human mobility in bike-sharing systems: structure of local and non-local dynamics[J].PloS ONE,2019,14(3). DOI: 10.1371/journal.pone.0213106. [14] DU Y, DENG F, LIAO F. A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system[J]. Transportation Research Part C: Emerging Technologies, 2019, 103:39-55. [15] AI Y, LI Z P, GAN M. A solution to measure traveler’s transfer tolerance for walking mode and dockless bike-sharing mode[J]. Journal of Supercomputing, 2018, 75(1):1-18. |