基于MA-CPT模型的出行方式选择模型优化  

Optimization of Travel Mode Choice Based on MA-CPT Model

作　　者：黄奕慧 杨飞[1] 张栋 曾优美 HUANG Yihui;YANG Fei;ZHANG Dong;ZENG Youmei(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 611756,China;School of Transportation and Logistics,Dalian University of Technology,Dalian 116024,China)

机构地区：[1]西南交通大学交通运输与物流学院,四川成都611756 [2]大连理工大学交通运输学院,辽宁大连116024

出　　处：《西南交通大学学报》2023年第2期367-372,共6页Journal of Southwest Jiaotong University

基　　金：国家自然科学基金(52072313)。

摘　　要：为提高累积前景理论在出行方式选择建模应用中的准确性,考虑个体对于时间与费用货币态度的不同,优化原始累积前景理论(cumulative prospect theory,CPT)模型的时间值函数和时间权重函数.首先,针对时间压力下出行方式偏好发生转变的现象,将出行方式分为刚性出行和弹性出行,改进刚性出行情景下的时间值函数形式,并根据出行时间特性求出时间权重函数中吸引力参数的取值范围,构建MA-CPT (mental accountingcumulative prospect theory)模型;其次,根据实证数据标定时间权重函数中辨别力参数和吸引力参数的取值;最后,标定MA-CPT模型结果并检验其拟合优度,对比MA-CPT模型和CPT模型的命中率.实证分析结果表明:刚性出行和单行出行场景下,时间权重函数的吸引力参数值均大于1.00;MA-CPT模型在刚性出行和弹性出行情境下的拟合优度分别为0.17和0.18;相比于CPT模型,MA-CPT模型在弹性出行和刚性出行情景下的命中率分别提高了12.2%和19.8%.To improve the accuracy of cumulative prospect theory in modeling travel mode choice,given the differences in individual attitudes toward time and costs,the time value function and time weight function of the original cumulative prospect theory model are optimized.Firstly,in view of the preference reversal under time pressure,the travel mode is divided into rigid travel and flexible travel,the form of the time value function under the rigid travel scenario is improved,and the value range of the attraction parameter in the time weight function is calculated according to the travel time characteristics,and the MA-CPT(mental accounting-cumulative prospect theory)model is constructed.Secondly,the values of discrimination and attractiveness parameters in the time weight function are calibrated according to empirical data.Finally,the MA-CPT model is calibrated and its goodness of fit is tested,and the hit rates of MA-CPT and CPT models are compared.The empirical analysis results show that the attraction parameter value of the time weight function is greater than 1.00 under the scenarios of rigid travel and one-way travel.The goodness of fit of the MA-CPT model under rigid travel and flexible travel scenarios are 0.17 and 0.18,respectively.Compared with the CPT model,the hit rate of the MACPT model under flexible travel and rigid travel scenarios has increased by 12.2%and 19.8%,respectively.

关 键 词：城市交通 出行方式选择模型 累积前景理论 心理账户理论 时间权重函数 

分 类 号：U491.1[交通运输工程—交通运输规划与管理]