[1] CURRIE G. Quick and effective solution to rail overcrowding: Free early bird ticket experience in Melbourne, Australia[J]. Transportation Research Record, 2010(2146): 35-42.
[2] LIU Y, CHARLES P. Spreading peak demand for urban rail transit through differential fare policy: A review of empirical evidence[C]. 36th Australasian Transport Research Forum. Australia: Australasian Transport Research Forum, 2013: 1-35.
[3] DOUGLAS N J, HENN L, SLOAN K. Modelling the ability of fare to spread AM peak passenger loads using rooftops[C]. 34th Australasian Transport Research Forum. Australia: Australasian Transport Research Forum, 2011: 34-42.
[4] WHELAN G, JOHNSON D. Modelling the impact of alternative fare structures on train overcrowding[J]. International Journal of Transport Management, 2004, 2 (1): 51-58.
[5] LOVRIC M, RAVEAU S, ADNAN M, et al. Evaluating off-peak pricing strategies in public transportation using an activity-based approach[J]. Transportation Research Record, 2016, (2544): 10-19.
[6] 王静. 地铁分时定价对乘客出行选择影响研究[D]. 成都: 西南交通大学, 2011. [WANG J. The impacts of variable pricing on boarding choice of subway[D]. Chengdu: Southwest Jiaotong University, 2011.]
[7] 张晓晴. 城市轨道交通分时定价模型研究[D]. 北京: 北京交通大学, 2016. [ZHANG X Q. Study on the time differential pricing model of urban rail transit[D]. Beijing: Beijing Jiaotong University, 2016.]
[8] ZOU Q R, YAO X M, ZHAO P, et al. Measuring retiming responses of passengers to a pre-peak discount fare by tracing smart card data: A practical experiment in the Beijing Subway[J]. Journal of Advanced Transportation, 2019: 6873912.
[9] WANG Z J, LI X H, CHEN F. Impact evaluation of a mass transit fare change on demand and revenue utilizing smart card data[J]. Transportation Research Part A, 2015(77): 213-224.
[10] YAO X M, HAN B M, YU D D, et al. Simulation-based dynamic passenger flow assignment modelling for a schedule-based transit network[J]. Discrete Dynamics in Nature and Society, 2017: 2890814. |