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浙江大学学报(工学版)
浙江大学学报(工学版)
土木与交通工程     
基于CPT的异质通勤者多维出行决策模型
王韩麒, 陈红, 冯微, 刘玮蔚
长安大学 公路学院 陕西 西安 710064
Multi-dimensional travel decision model of heterogeneous commuters based on Cumulative Prospect Theory
WANG Han qi, CHEN Hong, FENG Wei, LIU Wei wei
Highway college, chang’an University, Xi’an 710064, China
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摘要：

为了准确描述异质通勤者的风险态度及出行决策行为,假设通勤者的到达时间符合偏态分布,根据不同的可靠性要求计算偏好到达时间,综合考虑出行费用的影响,构建参照点与风险偏好系数函数,建立了基于累积前景理论（CPT）的异质通勤者多维出行决策模型.结果表明,在参照点与风险偏好系数异质的情况下,通勤者表现出不同的风险态度,从而采取不同的出行决策行为,多维出行决策模型得到的结果更符合实际.在单维出行决策时,风险偏好系数对出行决策结果的影响不显著；而在多维出行决策时,风险偏好系数对出行决策结果的影响显著.
Abstract:
In order to accurately describe the risk attitude and travel decision behavior of heterogeneous commuters, commuters’ arrival time was assumed to follow skewed distribution; preference arrival time was calculated by different reliability requirements; heterogeneous reference point and risk coefficient function were built comprehensively considering the impact of the travel costs. Multidimensional travel decision model of heterogeneous commuters were established based on cumulative prospect theory(CPT). Results show that, in case of heterogeneous reference points and risk coefficients, commuters behave different risk attitudes in travel decision-making and take different travel decision behaviors. The results by multi-dimensional travel decision model were more realistic. In the onedimensional travel decision, the impact of risk coefficient on travel decision results is not significant; while the impact is significant in the multi-dimensional travel decision.
出版日期: 2017-03-06
CLC:  U 491  
通讯作者: 陈红,女,教授. ORCID: 0000-0001-9586-1329     E-mail: chh@gl.chd.edu.cn
作者简介: 王韩麒（1992—）,男,硕士,从事交通行为分析等研究. ORCID: 0000-0001-7771-1167. E-mail: 568239058@qq.com
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王韩麒, 陈红, 冯微, 刘玮蔚. 基于CPT的异质通勤者多维出行决策模型[J]. 浙江大学学报(工学版), 10.3785/j.issn.1008-973X.2017.02.010.

WANG Han qi, CHEN Hong, FENG Wei, LIU Wei wei. Multi-dimensional travel decision model of heterogeneous commuters based on Cumulative Prospect Theory. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 10.3785/j.issn.1008-973X.2017.02.010.

［1］ SMITH M J. The marginal cost taxation of a transportation network ［J］. Transportation Research Part B: Methodological, 1979,13(3): 237-242.
［2］ RABIN M J. Risk Aversion and exceptedutility theory: a calibration theorem ［J］. Econometrica, 2000, 68(5): 1281-1292.
［3］ KATSIKOPOULOS K V, DUSEANTHONY Y, FISHER D L, et al. Risk attitude reversals in drivers’ route choice when range of travel time information is provided ［J］. Human Factors: The Journal of the Human Factors and Ergonomics Society, 2002, 44(3):466-473.
［4］ AVINERI E, PRASHKER J. Sensitivity to uncertainty: need for a paradigm shift ［J］. Transportation Research Record: Journal of the Transportation Research Board, 2003, 1854(1): 90-98.
［5］ JOU R C, KITAMURA R, WENG M C, et al. Dynamic commuter departure time choice under uncertainty ［J］. Transportation Research Part A: Policy and Practice, 2008, 42(5): 774-783.
［6］ 王伟,孙会君.基于内生参考点的交通网络均衡模型［J］.应用数学和力学, 2013, 34(2): 190-198.
WANG Wei, SUN Huijun. Transportation network equilibrium model based on the endogenous reference point ［J］. Applied Mathematics and Mechanics, 2013, 34 (2): 190-198.
［7］ 田丽君,黄海军,许岩.具有异质参考点的多用户网络均衡模型［J］.管理科学学报, 2014, 17(7): 19.
TIAN Lijun, HUANG Haijun, XU Yan. Multiuser Network equilibrium model with heterogeneous reference point ［J］. Journal of Management Sciences in China, 2014, 17(7): 19.
［8］ AVINERI E. A cumulative prospect theory approach to passengers behavior modeling: waiting time paradox revisited ［J］. Journal of Intelligent Transportation Systems, 2004, 8(4):195-204.
［9］ XU H, ZHOU J, XU W. A Decisionmaking rule for modeling travelers’ route choice behavior based on cumulative prospect theory ［J］. Transportation Research Part C: Emerging Technologies, 2011, 19(2): 218-228.
［10］ 李小静,刘林忠.基于累积前景理论的通勤者路径选择模型［J］.交通运输系统工程与信息, 2015, 15(1):173-178.
LI Xiaojing, LIU Linzhong. Commuter path model selection based on cumulative prospect theory ［J］. Transportation Systems Engineering and Information Technology, 2015, 15 (1): 173-178.
［11］ 甘佐贤,陈红,冯微,等.基于累积前景理论的出行风险分析［J］.武汉理工大学学报:交通科学与工程版,2014, 38(4): 909-913.
GAN Zuoxian CHEN Hong, FENG Wei, et al. Travel risk analysis based on cumulative prospect theory ［J］ Wuhan University of Technology: Transportation Science & Engineering, 2014, 38 (4): 909-913.
［12］ 秦世环.基于前景理论的出行方式与路径联合选择行为研究［D］.哈尔滨：哈尔滨工业大学,2013.
QIN Shihuan. Research Joint choose behavior of travel mode and route based on prospect theory ［D］. Harbin: Harbin Institute of Technology, 2013.
［13］ 张波,隽志才,林徐勋.基于累积前景理论的出发时间选择SDUO模型［J］.管理工程学报,2013 (1): 687.
ZHANG Bo, JUAN Zhicai, LIN Xuxun. SDUO model of choose of departure time based on the cumulative prospect theory ［J］. Journal of Industrial Engineering and Engineering, 2013 (1): 687.
［14］ 肖玲玲,黄海军,田丽君.考虑异质出行者的随机瓶颈模型［J］.交通运输系统工程与信息,2014, 04: 93-98.
XIAO Lingling, HUANG Haijun, TIAN Lijun. Stochastic bottleneck model with heterogeneous travelers ［J］ Journal of Transportation Systems Engineering and Information Technology, 2014, 04: 93-98.
［15］ 吴文祥,黄海军.考虑地铁车内拥挤和早到与迟到惩罚的通勤者出发时间选择模型［J］.交通运输系统工程与信息,2009,01: 128-132.
Wu Wenxiang, HUANG Haijun. Commuters’ departure time choice with incarriage congestion and arrival early /late penalty ［J］. Journal of Transportation Systems Engineering and Information Technology,2009,01: 128-132.
［16］ 吕彪,蒲云,刘海旭.多用户类型弹性需求随机期望超额用户平衡模型［J］.西南交通大学学报, 2012,03: 516-525.
LU Biao, PU Yun, LIU Haixu. Stochastic meanexcess user equilibrium model with multiple classes and elastic demand ［J］. Southwest Jiao Tong University, 2012, 03: 516-525.
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