交通运输系统工程与信息 ›› 2016, Vol. 16 ›› Issue (5): 45-50.

• 综合交通运输体系论坛 • 上一篇    下一篇

基于Logsum 差异和嵌套Logit 模型的 交通出行者效益测算研究

马书红*1,汤薛艳1,叶建勇2   

  1. 1. 长安大学公路学院,西安710064;2. 浙江省发展规划研究院,杭州310011
  • 收稿日期:2016-02-26 修回日期:2016-04-25 出版日期:2016-10-25 发布日期:2016-10-25
  • 作者简介:马书红(1975-),女,河北藁城人,副教授,博士
  • 基金资助:

    国家社会科学基金项目/National Social Science of China(16-BJY117);陕西省交通运输厅科技项目/Science and Technology Project of Shaanxi Provincial Communications Department(15-07R)

Logsum Difference and Nested Logit Model in Traveler Benefits Estimation

MAShu-hong1, TANG Xue-yan1, YE Jian-yong2   

  1. 1. School of Highway, Chang’an University, Xi’an 710064, China; 2. Zhejiang Provice Development Planning & Research Institute, Hangzhou 310011, China
  • Received:2016-02-26 Revised:2016-04-25 Online:2016-10-25 Published:2016-10-25

摘要:

交通政策,项目投资及管理措施等会对交通系统出行者的行为方式产生影响, 进而影响系统出行者的经济效益,因此需要科学估计和合理测算.从交通经济领域效益估 算的常用方法着手,在对传统基于rule-of-half 的效益测算方法进行分析的基础上,重点 探讨基于Logsum差异的效益测算方法.构建出行决策的3 层嵌套Logit 模型,从目的地— 方式—路径选择角度建立出行者的效用表达式及方式选择模型,提出基于嵌套Logit 模 型和Logsum差异的效益测算方法;结合案例和情景分析验证方法的应用,并与传统测算 方法进行比较.结果表明,当自变量相对基准情况有较大变化时,rule-of-half 方法和 Logsum 方法的计算结果会有较大差异,在需求非线性变化情况下,基于Logsum 差异的 测算结果更为合理.

关键词: 交通运输经济, 效益测算, Logsum差异, 嵌套Logit模型, 出行者, 情景分析

Abstract:

Transport policy, project investment and management measures usually impact on travelers’ behavior, and then play a role on the economic benefits in transportation system. It is necessary to scientifically evaluate the influences and estimate the user benefits. From the analysis of the commonly used methods to estimate user benefits in transportation economics, this paper focuses on the methodology based on Logsum difference and consumer surplus. It builds a nested Logit model structure of travel decisionmaking from destination choice, mode choice and route choice through upper level to lower, and gives the mathematical descriptions and expressions of traveler utility and probability, and then proposes the formulas to estimate traveler benefits based on a nested Logit model and Logsum difference; it also establishes a base scenario and 5 alternative scenarios in an example and calculates the traveler benefits(or losts) across scenarios using Logsum method, and compares its results to rule- of- half method. Results show that the monetized differences in Logsums gives a more exact result for traveler benefits than rule-of-half when there is a big change on the variables compared to base scenario.

Key words: transportation economy, user benefit estimation, Logsum difference, nested Logit model, traveler, scenario analysis

中图分类号: