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作者:

Qin, Huanmei (Qin, Huanmei.) | Gao, Jianqiang (Gao, Jianqiang.) | Guan, Hongzhi (Guan, Hongzhi.) (学者:关宏志) | Chi, Hongbo (Chi, Hongbo.)

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摘要:

In order to understand the mode shift behavior of car travelers and relieve traffic congestion, a Stated Preference survey has been conducted in the city of Ji'nan in China to analyze bus choice behavior and the heterogeneity of car travelers. Several discrete choice models, including multinomial logit, mixed logit and latent class model (LCM) are developed based on these survey data. A comparative analysis indicates that the LCM has the highest precision and is more suitable to analyze the heterogeneity of car travelers. The LCM divides car travelers into three classes. Different classes have different sets of influencing factors in the model. Policy recommendations are also proposed for those classes to promote bus shift from car travelers based on the model results. Finally, sensitivity analysis on parking fees and fuel cost is carried out on the LCMs under different bus service levels. Car travelers have different sensitivities to the influencing factors. The conclusions indicate that the LCM can reflect the heterogeneity and preferences of car travelers and can be used to understand how to shift the behavior of car travelers and make more effective traffic policy.

关键词:

discrete choice models Mode shift heterogeneity car travelers latent class model stated preference

作者机构:

  • [ 1 ] [Qin, Huanmei]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Gao, Jianqiang]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Guan, Hongzhi]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 4 ] [Chi, Hongbo]AECOM Technol Corp, W Palm Beach, FL USA

通讯作者信息:

  • [Qin, Huanmei]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China

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来源 :

TRANSPORTATION PLANNING AND TECHNOLOGY

ISSN: 0308-1060

年份: 2017

期: 8

卷: 40

页码: 914-927

1 . 6 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:165

中科院分区:4

被引次数:

WoS核心集被引频次: 11

SCOPUS被引频次: 11

ESI高被引论文在榜: 0 展开所有

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