习惯和对更好的交通选择的次级探索:双系统方法

IF 5.1 2区 工程技术 Q1 TRANSPORTATION Travel Behaviour and Society Pub Date : 2024-08-20 DOI:10.1016/j.tbs.2024.100877
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引用次数: 0

摘要

在心理学中,选择会受到目标导向系统或习惯系统的影响,这两种系统分别由基于模型(MB)和无模型(MF)的强化学习算法表示。本文将这些概念引入到交通文献中,并表明具有习惯性倾向的个体往往不会考虑新的、潜在的更优选择。在两个实验中,参与者在两个公交车选项中做出选择,并在稍后阶段引入第三个客观上更优的选项。在这两个实验中,有习惯性行为的参与者不太可能探索新的备选方案。此外,我们还发现习惯性倾向受到自我报告的压力水平的调节,这与之前心理学文献的研究结果一致。这意味着,新的交通方式或路线可能会因为旅行者坚持习惯性模式而未被充分利用,从而忽视了潜在的更好替代方案的引入,这也为旨在促进目标导向型行为的公共政策提供了提示。
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Habits and the subexploration of better transportation options: A dual-system approach

In psychology, choices are influenced by either goal-directed or habitual systems, which are represented by model-based (MB) and model-free (MF) reinforcement learning algorithms. This paper introduces these concepts into the transportation literature and shows that individuals with habitual tendencies often fail to consider new, potentially superior, alternatives. Across two experiments, participants chose between two bus options, with a third, objectively superior option introduced in a later phase. In both experiments, participants engaging in habitual behavior were less likely to explore the new alternative. Furthermore, we found habitual tendencies were moderated by self-reported stress levels, which is consistent with previous results in the psychological literature. This implies that new transportation modes or routes may remain underused as travelers adhere to habitual patterns, disregarding the introduction of potentially better alternatives, and prompt for public policies that aim to promote goal-directed behavior.

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来源期刊
CiteScore
9.80
自引率
7.70%
发文量
109
期刊介绍: Travel Behaviour and Society is an interdisciplinary journal publishing high-quality original papers which report leading edge research in theories, methodologies and applications concerning transportation issues and challenges which involve the social and spatial dimensions. In particular, it provides a discussion forum for major research in travel behaviour, transportation infrastructure, transportation and environmental issues, mobility and social sustainability, transportation geographic information systems (TGIS), transportation and quality of life, transportation data collection and analysis, etc.
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