Finding shared decisions in stakeholder networks: an agent-based approach

TL;DR

This paper introduces an agent-based model to simulate participatory decision-making in stakeholder networks, demonstrating how social interactions can lead to shared, consistent decisions aligned with real-world transport planning experiences.

Contribution

The paper presents a novel agent-based approach to model stakeholder interactions and consensus-building in participatory decision processes.

Findings

Interaction promotes shared, consistent decisions.

Model aligns with real transport planning experiences.

Provides guidance for effective participatory processes.

Abstract

We address the problem of a participatory decision-making process where a shared priority list of alternatives has to be obtained while avoiding inconsistent decisions. An agent-based model (ABM) is proposed to mimic this process in different social networks of stakeholders who interact according to an opinion dynamics model. Simulations' results show the efficacy of interaction in finding a transitive and, above all, shared decision. These findings are in agreement with real participation experiences regarding transport planning decisions and can give useful suggestions on how to plan an effective participation process for sustainable policy-making based on opinion consensus.