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'If only I had taken the other road…': Regret, risk and reinforced learning in informed route-choice

机译:“如果我走了另一条路……”:在知情的路线选择中感到遗憾,冒险和强化学习

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摘要

This paper presents a study of the effect of regret on route choice behavior when both descriptional information and experiential feedback on choice outcomes are provided. The relevance of Regret Theory in travel behavior has been well demonstrated in non-repeated choice environments involving decisions on the basis of descriptional information. The relation between regret and reinforced learning through experiential feedbacks is less understood. Using data obtained from a simple route-choice experiment involving different levels of travel time variability, discrete-choice models accounting for regret aversion effects are estimated. The results suggest that regret aversion is more evident when descriptional information is provided ex-ante compared to a pure learning from experience condition. Yet, the source of regret is related more strongly to experiential feedbacks rather than to the descriptional information itself. Payoff variability is negatively associated with regret. Regret aversion is more observable in choice situations that reveal risk-seeking, and less in the case of risk-aversion. These results are important for predicting the possible behavioral impacts of emerging information and communication technologies and intelligent transportation systems on travelers' behavior.
机译:当提供描述信息和关于选择结果的经验反馈时,本文提出了关于遗憾对路径选择行为的影响的研究。在涉及描述信息的决策的非重复选择环境中,后悔理论与旅行行为的相关性已得到充分证明。遗憾和通过经验反馈加强学习之间的关系鲜为人知。使用从涉及不同水平的旅行时间可变性的简单路线选择实验获得的数据,估算了考虑后悔厌恶效应的离散选择模型。结果表明,与纯粹从经验中学习相比,事前提供描述信息时,后悔厌恶更为明显。然而,遗憾的根源与体验反馈更紧密地相关,而不是与描述性信息本身相关。支付的可变性与后悔负相关。在具有寻求风险的选择情况下,后悔厌恶更为明显,而在厌恶情绪的情况下则较少。这些结果对于预测新兴的信息和通信技术以及智能交通系统对旅行者行为的可能行为影响至关重要。

著录项

  • 来源
    《Transportation》 |2013年第2期|269-293|共25页
  • 作者单位

    Centre for Transport and Society, Department of Planning and Architecture, Faculty of Environment and Technology, University of the West of England, Bristol, UK;

    Department of Transportation Engineering and Geo-information, Faculty of Civil and Environmental Engineering, Technion-Israel Institute of Technology, Technion, Israel;

    Department of Transportation Engineering and Geo-information, Faculty of Civil and Environmental Engineering, Technion-Israel Institute of Technology, Technion, Israel;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    expected utility; information; intelligent transportation systems; reinforced learning; regret; route-choice; risk;

    机译:预期效用;信息;智能交通系统;加强学习;遗憾;路线选择;风险;
  • 入库时间 2022-08-18 01:18:53

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