Journal of Transportation Systems Engineering and Information Technology ›› 2017, Vol. 17 ›› Issue (1): 8-13.

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Allowing for Exogenous Policy Adjustment in Urban Low-carbon Travel Decision Model

WEI Qing-qi1, 2, XIAOWei1   

  1. 1. School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China; 2. School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 610054, China
  • Received:2016-05-12 Revised:2016-07-27 Online:2017-02-25 Published:2017-02-27

考虑外生政策调节的城市低碳出行决策模型

魏庆琦*1, 2,肖伟1   

  1. 1. 重庆交通大学经济与管理学院,重庆400074;2. 电子科技大学经济与管理学院,成都610054
  • 作者简介:魏庆琦(1982-),女,重庆万州人,副教授,博士.
  • 基金资助:

    国家社会科学基金项目/ National Social Science Fund of China(13CGL151).

Abstract:

To make transportation policy effective, decision makers should consider the travel decisionmaking process of urban travelers. In order to understand the travel decision- making process, the characteristics of existing travel behavior influence factors and their influence mechanisms are analyzed based on social psychology. In this study, the relationships among context dependency, learning capacity and travel decision are explored, and the moderating effect of exogenous policy are incorporated into the research framework on the relationship among context dependency, learning capacity and travel decision. Based on a review of relevant researches, research propositions are proposed, and the theoretical model of the travel decision-making process is developed.

Key words: urban traffic, travel decision model, integrated model, travel behavior, transportation policy

摘要:

交通治理政策生效的关键是能够影响个体出行者的行为决策.为提升城市低 碳交通治理政策的有效性,有必要研究城市出行个体的决策过程、影响因素及其影响机 理.本研究从社会心理学角度出发,研究情境依赖、学习能力与个体出行行为决策之间的 相互影响,并将外生政策纳入个体出行行为决策过程研究框架,分析外生政策对出行行 为决策与情境依赖和学习能力之间关系的调节作用.在对相关研究进行系统梳理和总结 的基础上,构建了城市低碳出行决策过程的逻辑模型,该模型可为出行行为决策实证研 究提供系统的分析框架.

关键词: 城市交通, 出行决策模型, 整合模型, 出行行为, 交通政策

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