Study on modal split method based on nested Logit model - 文章详情页

作者：

Yao, L. (Yao, L..) | Sun, L. (Sun, L..) | Guan, H. (Guan, H..)

收录：

Scopus

摘要：

In　order　to　reduce　the　forecasting　error　caused　by　the　independence　form　irrelevant　alternatives　of　traditional　model,　traffic　modals　are　divided　into　public　traffic　and　private　traffic　according　to　the　service　objects.　Traffic　modals　that　have　similar　factors　are　classified　into　the　same　arrangement.　The　nested　modal　split　model　is　demarcated　by　the　investigational　data　in　Beijing.　According　to　the　calculating　results,　discrete　factors　that　affect　arrangement　1　and　2　are　in　turn　the　age,　have　a　car　or　not,　pay　mode　and　income,　travel　aim.　Continuous　factors　are　travel　time　and　cost.　According　to　the　results,　the　precision　of　the　model　introduced　in　this　paper　is　high.

关键词：

Disaggregated model; Forecasting error; Modal split; Nested Logit model; Utility

作者机构：

[ 1 ] [Yao, L.]School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing 100081, China
[ 2 ] [Yao, L.]Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100022, China
[ 3 ] [Sun, L.]Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100022, China
[ 4 ] [Guan, H.]Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100022, China

通讯作者信息：

[Yao, L.]School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing 100081, China

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