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作者:

Qin, Huanmei (Qin, Huanmei.) | Gao, Jianqiang (Gao, Jianqiang.) | Wu, Yao-Jan (Wu, Yao-Jan.) | Yan, Hai (Yan, Hai.)

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SSCI Scopus

摘要:

Research on individual decision-making process is fundamentally critical to explore the macroscopic behavioral rules for travel mode choice. In this paper, a behavioral experiment under different contexts was designed by a process-tracing method to obtain data regarding repetitive travel mode choices. Based on the Decision Field Theory, a stochastic, dynamic model was proved to be reliable and used to reproduce and analyze the repeated decision-making process. It is concluded that in a stable context, travelers would gradually establish and use some new decision rules to make a travel mode choice during the repetitive decision-making process. When travelers have developed a travel mode habit, environmental cues become the key factors that trigger travelers to make travel mode choices. Context change and traffic policies can make travelers consider, weigh and compare the relevant information again and interrupt their previous habitual choice behavior, enhancing the use of Park and Ride. Meanwhile, travelers with a faster learning speed and better memory develop a travel mode habit in a stable context and change the existing car use habit in a new context more quickly. These results would help to enrich the existing theoretical study of travel behavior and provide an interesting starting point for the development of practical strategies to promote the use of public transport instead of a private car. Traffic management techniques such as congestion pricing, along with behavior intervention and guidance strategies for different groups can strengthen this effect.

关键词:

Decision-making process Travel context Repetitive travel mode choices Decision field theory

作者机构:

  • [ 1 ] [Qin, Huanmei]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Yan, Hai]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Gao, Jianqiang]Beijing Daxing Int Airport, Beijing 102602, Peoples R China
  • [ 4 ] [Wu, Yao-Jan]Univ Arizona, Dept Civil Engn & Engn Mech, Tucson, AZ 85721 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 :

TRANSPORT POLICY

ISSN: 0967-070X

年份: 2019

卷: 79

页码: 155-164

ESI学科: SOCIAL SCIENCES, GENERAL;

ESI高被引阀值:84

JCR分区:1

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 15

ESI高被引论文在榜: 0 展开所有

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