[1] 王健, 付兴胜, 胡晓伟, 等. 考虑心理潜变量的居住区共享泊位停车选择行为分析[J]. 大连交通大学学报,2019, 40(4): 1-12. [WANG J, FU X S, HU X W, et al. Choice behavior analysis of residential shared parking incorporating psychological latent variable[J]. Journal of Dalian Jiaotong University, 2019, 40(4): 1-12.]
[2] 北京市交通委员会运输管理局. 北京市机动车停车条例[OL], (2018-5-1). [2019-8-5]. http://jtgl.beijing.gov.cn/jgj/bjsfggz/570305/index.html. [Beijing MunicipalCommission of Transport. Regulations of Beijing municipality on motor vehicle parking[OL], (2018-5-1).[2019- 8- 5]. http://jtgl. beijing. gov. cn/jgj/bjsfggz/570305/index.html.]
[3] TANG D, LIN Z, SENGUPTA R. A casual analysis of FlexPass: Incentive for reducing parking demand[C].Transportation Research Board, 2016.
[4] TANG D, SENGUPTA R. A new method for the direct measurement of parking incentive response curve[C].Transportation Research Board, 2018.
[5] 季彦婕, 高良鹏, 陈丹丹, 等. 基于博弈理论的弹性停车激励机制运营效益评估模型[J]. 交通运输工程学报, 2019, 19(4): 161-170. [JI Y J, GAO L P, CHEN D D, et al. Operational benefit evaluation model of flexible parking incentive mechanism based on game theory[J].Journal of Traffic and Transportation Engineering, 2019, 19(4): 161-170.]
[6] 彭非, 王伟. 生存分析[M]. 北京: 中国人民大学出版社, 2004. [PENG F, WANG W. The survival analysis [M]. Beijing: China People's University Press, 2004.]
[7] 杨文臣, 张轮, 施奕骋, 等. 城市快速路交通事件持续时间生存分析[J]. 交通运输系统工程与信息, 2014, 14 (5): 168-174. [YANG W C, ZHANG L, SHI Y C, et al. Survival analysis of traffic incident duration for urban expressways[J]. Journal of Transportation Systems Engineering and Information Technology, 2014, 14(5): 168-174.]
[8] 李林波, 高天爽, 姜屿. 基于生存分析的夜间驻留停 车 需 求 预 测 [J]. 东南大学学报 (自然科学版),2020, 50(1): 192-199. [LI L B, GAO T S, JIANG Y. Night parking demand forecasting based on survival analysis[J]. Journal of Southeast University (Natural Science Edition), 2020, 50(1): 192-199.]
[9] JI Y, GAO L, CHEN D, et al. Functional analysis of public transport network in trip mode detection from personal smartphone trajectory data[C]. Transportation Research Board, 2016. |