[1]李梦洁,陈富坚,林钦泽.基于随机后悔广义巢式logit的出行效益评估方法[J].深圳大学学报理工版,2021,38(2):128-135.[doi:10.3724/SP.J.1249.2021.02128]
　LI Mengjie,CHEN Fujian,and LIN Qinze.A travel benefits evaluation method based on random regret generalized nested logit model[J].Journal of Shenzhen University Science and Engineering,2021,38(2):128-135.[doi:10.3724/SP.J.1249.2021.02128]
点击复制

基于随机后悔广义巢式logit的出行效益评估方法()
分享到：

《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第38卷
期数:
2021年第2期
页码:
128-135
栏目:
交通物流
出版日期:
2021-03-12

文章信息/Info

Title:
A travel benefits evaluation method based on random regret generalized nested logit model
文章编号:
202102003
作者:
李梦洁1; 陈富坚1; 林钦泽2
1）桂林电子科技大学建筑与交通工程学院，广西桂林 541004
2）河北工业大学土木与交通学院，天津 300400
Author(s):
LI Mengjie1;  CHEN Fujian1;  and LIN Qinze2
1) School of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin 541004, Guangxi Zhuang Autonomous Region, P.R.China
2) School of Civil and Transportation, Hebei University of Technology, Tianjin 300400, P.R.China
关键词:
交通运输经济; 出行选择; 消费者剩余; 后悔理论; 广义巢式logit模型; Logsum方法
Keywords:
transportation economy;  travel choice;  consumer’s surplus;  regret theory;  generalized nested logit model;  Logsum method
分类号:
F502；F572
DOI:
10.3724/SP.J.1249.2021.02128
文献标志码:
A
摘要:
目前制定交通政策考虑的因素不尽完善，导致政策实际效果与预期有差距. 为更好评估交通政策变化对消费者福利（出行者选择效益）的影响，更有效捕捉出行方案之间的相似特点，基于后悔理论，联合出发时间、出行方式和路线3个维度构建随机后悔广义巢式logit模型. 结合案例验证，在该模型结构下，使用Logsum消费者剩余度量方法评估政策变化对出行者效益的影响. 结果表明，当一个巢的价格属性或非价格属性变化时，该巢内部对应方案的消费者剩余都会呈不同程度的反比例变化，该方法能较好捕捉方案之间的相似性. 研究结果可为相关部门制定和评价交通政策提供依据.
Abstract:
At present, the factors considered in formulating the transportation policy are not complete, which leads to the gap between the actual effect and expectation. In order to better evaluate the impact of transportation policy changes on consumer welfare (i.e. traveler’s choice benefit), and to more effectively capture the similar characteristics among travel schemes, we develop a generalized nested logit model of random regret based on regret theory which is constructed by combining three aspects of data: the departure time, travel mode and route. In case study, the selection probability is interpreted as an approximate probability demand curve, and the Logsum consumer surplus measurement method is used to evaluate the impact of changes between two policies on traveler benefits under this model structure. The result shows that when the price attribute or the non-price attribute of a nest changes, the consumer surplus of the corresponding alternatives within the nest changes in varying degrees in inverse proportion, thus it better captures the similarity between the schemes. The research results provide reference for relevant departments to formulate and evaluate transportation policies.

参考文献/References:

［1］ JONG de G, DALY A, PIETERS M, et al. The logsum as an evaluation measure: review of the literature and new results［J］. Transportation Research Part A: Policy and Practice, 2007, 41(9): 874-889.
［2］ 马书红, 汤薛艳, 叶建勇. 基于Logsum差异和嵌套Logit模型的交通出行者效益测算研究［J］. 交通运输系统工程与信息, 2016, 16(5): 45-50, 78.
MA Shuhong, TANG Xueyan, YE Jianyong. Logsum difference and nested logit model in traveler benefits estimation［J］. Journal of Transportation Systems Engineering and Information Technology, 2016, 16(5): 45-50, 78.(in Chinese)
［3］ MCCONNELL K E. Consumer surplus from discrete choice models［J］. Journal of Environmental Economics and Management, 1995, 29: 263-270.
［4］ DEKKER T, CHORUS C G. Consumer surplus for random regret minimisation models［J］. Journal of Environmental Economics and Policy, 2018, 7(3): 269-286.
［5］ STANDEN C, GREAVES S, COLLINS A T, et al. The value of slow travel: economic appraisal of cycling projects using the logsum measure of consumer surplus［J］. Transportation Research Part A: Policy and Practice, 2019, 123: 255-268.
［6］ CHEN A, PRAVINVONGVUTH S，XU Xiangdong, et al. Examining the scaling effect and overlapping problem［J］. Transportation Research Part A: Policy and Practice, 2012, 46（8）: 1343-1358.
［7］ WEN C，KOPPELMAN F S. The generalized nested logit model［J］. Transportation Research Part B: Methodological, 2001, 35: 627-641.
［8］ 马书红, 周烨超, 张艳. 基于NL-累计前景理论的出行方式选择预测模型研究［J］. 交通运输系统工程与信息, 2019, 19(4): 135-142.
MA Shuhong, ZHOU Yechao, ZHANG Yan. Travel mode choice forecasting based on nested logit-cumulative prospect theory model［J］. Journal of Transportation Systems Engineering and Information Technology, 2019, 19(4): 135-142.(in Chinese)
［9］ 杨励雅, 李娟. 居民出行链、出行方式与出发时间联合选择的交叉巢式Logit模型［J］. 北京大学学报自然科学版, 2017, 53(4): 722-730.
YANG Liya, LI Juan. Cross-nested logit model for the joint choice of residential location, travel mode, and departure time［J］. Acta Scientiarum Naturalium Universitatis Pekinensis, 2017, 53(4): 722-730.(in Chinese)
［10］ 李雪飞. 基于扩展Logit的交通分配模型与算法研究［D］. 北京: 北京交通大学, 2014.
LI Xuefei. Study on traffic assignment models and algorithms based on extended logit models［D］. Beijing: Beijing Jiaotong University, 2014.(in Chinese)
［11］ CHORUS C, CRANENBURGH S, DEKKER T. Random regret minimization for consumer choice modeling: assessment of empirical evidence［J］. Journal of Business Research, 2014, 67(11): 2428-2436.
［12］ CRANENBURGH S V, CHORUS C G. Does the decision rule matter for large-scale transport models［J］. Transportation Research Part A: Policy and Practice, 2018,114: 338-353.
［13］ 李梦, 黄海军. 后悔视角下的多用户多准则随机用户均衡模型［J］. 系统工程理论与实践, 2017, 37(5): 1322-1330.
LI Meng, HUANG Haijun. Multi-class, multi-criteria stochastic user equilibrium model under regret theory view［J］. Systems Engineering Theory & Practice, 2017, 37(5): 1322-1330.(in Chinese)
［14］ GUEVARA C A, FUKUSHI M. Modeling the decoy effect with context-RUM models: diagrammatic analysis and empirical evidence from route choice SP and mode choice RP case studies［J］. Transportation Research Part B: Methodological, 2016, 93: 318-337.
［15］ BIERLAIRE M. BIOGEME: a free package for the estimation of discrete choice models［C］// The Third Swiss Transportation Research Conference. Ascona, Switzerland: EPFL, 2003: 1-24.
［16］ BIERLAIRE M. PythonBiogeme: a short introduction［R/OL］.(2016-07-06)［2020-04-10］. https://infoscience.epfl.ch/record/221362.

备注/Memo

备注/Memo:
Received：2020-06-18；Accepted：2020-11-18
Foundation：National Natural Science Foundation of China (61803113); Innovation Project of Guilin University of Electronic Technology Graduate Education (2020YCXS122)
Corresponding author：Professor CHEN Fujian．E-mail: 690273745@qq.com
Citation：LI Mengjie，CHEN Fujian，LIN Qinze．A travel benefits evaluation method based on random regret generalized nested logit model［J］. Journal of Shenzhen University Science and Engineering, 2021, 38(2): 128-135.（in Chinese）
基金项目：国家自然科学基金资助项目（61803113）；桂林电子科技大学研究生教育创新计划资助项目(2020YCXS122)
作者简介：李梦洁(1995—)，桂林电子科技大学硕士研究生．研究方向：交通行为经济学与交通管理规划．
E-mail：lmjandlqz@gmail.com
引文：李梦洁，陈富坚，林钦泽．基于随机后悔广义巢式logit的出行效益评估方法［J］. 深圳大学学报理工版，2021，38(2)：128-135.
更新日期/Last Update: 2021-03-30