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Regret minimisation and utility maximisation in a freight transport context

机译:货运环境中的后悔最小化和效用最大化

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This study is the first to compare random regret minimisation (RRM) and random utility maximisation (RUM) in freight transport application. This paper aims to compare RRM and RUM in a freight transport scenario involving negative shock in the reference alternative. Based on data from two stated choice experiments conducted among Swiss logistics managers, this study contributes to related literature by exploring for the first time the use of mixed logit models in the most recent version of the RRM approach. We further investigate two paradigm choices by computing elasticities and forecasting choice probability. We find that regret is important in describing the managers' choices. Regret increases in the shock scenario, supporting the idea that a shift in reference point can cause a shift towards regret minimisation. Differences in elasticities and forecast probability are identified and discussed appropriately.
机译:这项研究是第一个比较随机后悔最小化(RRM)和随机效用最大化(RUM)在货运应用中的研究。本文旨在比较参考方案中涉及负冲击的货运情景中的RRM和RUM。基于来自瑞士物流管理人员的两次既定选择实验的数据,本研究首次探索了Rlog方法最新版本中混合logit模型的使用,从而为相关文献做出了贡献。我们通过计算弹性和预测选择概率进一步研究两种范式选择。我们发现遗憾对于描述经理的选择很重要。震荡情景中的遗憾增加,支持这样的观点,即参考点的偏移会导致向后悔最小化的转移。确定并适当讨论弹性和预测概率的差异。

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