[1] YAO E, MORIKAWA T. A study of on integrated intercity travel demand model[J]. Transportation Research Part A, 2005, 39(4): 367-381.
[2] ROMÁN C, ESPINO R, MARTÍN J C. Analyzing competition between the high speed train and alternative modes: the case of the Madrid- Zaragoza- Barcelona corridor[J]. Journal of Choice Modelling, 2010, 3(1): 84-108.
[3] MANCUSO P. An analysis of the competition that impinges on the Milan-Rome intercity passenger transport link[J]. Transport Policy, 2014, 32(1): 42-52.
[4] 景鹏, 隽志才, 查奇芬. 扩展计划行为理论框架下基于 MIMIC模型的城际出行行为分析[J]. 管理工程学报, 2016, 30(4): 61-68. [JING P, JUAN Z C, ZHA Q F. Application of the expanded theory of planned behavior in intercity travel behavior based on MIMIC model[J]. Journal of Industrial Engineering and Engineering Management, 2016, 30(4): 61-68.]
[5] 叶玉玲, 陈鹏超, 程正. 基于双参数的城际旅客出行方式动态仿真方法[J]. 同济大学学报(自然科学版), 2015, 43(6): 865- 869, 871. [YE Y L, CHEN P C, CHENG Z. Dynamic simulation method for travelling mode choice behavior of intercity passengers based on two parameters[J]. Journal of Tongji University (Natural Science), 2015, 43(6): 865-869, 871.]
[6] 芮海田, 吴群琪. 高铁运输与民航运输选择下的中长距离出行决策行为[J]. 中国公路学报, 2016, 29 (3): 134-141. [RUI H T, WU Q Q. Medium-and-long distance travel mode decision between high-speed rail and civil aviation[J]. China Journal of Highway and Transport, 2016, 29(3): 134-141.]
[7] 向红艳, 任小聪, 陈坚. 城市群内城际短途出行方式选择行为建模[J]. 重庆交通大学学报(自然科学版), 2016, 36(3): 129-133. [XIANG H Y, REN X C, CHEN J. Modeling on choice behavior of short- distance intercity travel mode[J]. Journal of Chongqing Jiaotong University (Natural Science), 2016, 36(3): 129-133.]
[8] 周娟, 李志纯.“空巴联运”需求预测模型与实证分析:以湖北地区为例[J]. 交通运输系统工程与信息, 2015, 15(6): 232-237. [ZHOU J, LI Z C. Forecasting travel demand for combined bus and airline mode: a case study of Hubei Province[J]. Journal of Transportation Systems Engineering and Information Technology, 2015, 15(6): 232-237.]
[9] DARGAY J M, CLARK S. The determinants of long distance travel in Great Britain[J]. Transportation Research Part A, 2012, 46(3): 576-587. |