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Evidence record 3356 · automatically gathered

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

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 as an uncontrolled source of outcome variation. We present AGORA, a framework that holds the network, demand, and solver fixed while systematically varying meeting composition through stakeholder agents, structured deliberation, and governance gates. Across two standard

Record details

Published: 31 May 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Regulation · Agents & autonomy
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (31 May 2026), “AGORA: Can Deliberation and Governance Gates Absorb Participation Bias in Transit Planning?,” evidence record 3356, https://ethics.ai/record/3356 (originally published by arXiv).

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