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English(EN) AGORA: Can Deliberation and Governance Gates Absorb Participation Bias in Transit Planning?

新框架AGORA解决了交通规划中的参与偏见问题

研究人员开发了AGORA框架,旨在通过使用利益相关者代理、结构化审议和治理关卡来减轻交通规划中的参与偏见。研究发现,虽然总体结果基本保持一致,但代表性抽样改善了尾部风险和公平性差异。审议被确定为与会者构成影响结果的关键机制,而治理关卡则在不显著改变平均结果的情况下降低了结果方差,尽管特定阈值需要校准。 AI

排序理由 该集群包含一篇学术论文,详细介绍了解决交通规划中偏见的新框架。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.LG 阅读 →

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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Jung-Hoon Cho, Cathy Wu ·

    AGORA: Can Deliberation and Governance Gates Absorb Participation Bias in Transit Planning?

    arXiv:2606.13696v1 Announce Type: cross Abstract: Transit network design depends not only on the optimization algorithm but also on who shows up to the public hearing. Current practice often collects one-directional comments from self-selected attendees, leaving participant mix a…