Journal of Engineering, Project, and Production Management, 2026, 16(4), 2026-152
An AI-Enabled Multi-Stakeholder Participation Model and Decision Support System for Urban Community Environmental Governance
Doctoral Candidate, College of Ecology and Environment, Nanjing Forestry University, No. 159, Longpan Road, Xuanwu District, Nanjing, Jiangsu Province, P.R. China, E-mail: 3915978965@163.com
Project Management
Received January 30, 2026; revised April 21, 2026; accepted May 10, 2026
Available online May 29, 2026
Abstract: The challenges in urban environmental governance include achieving consensus among diverse stakeholders and supporting decision-making grounded in data. This study offers a novel framework by using an AI-based decision support system in conjunction with agent-based modeling to improve engagement among diverse stakeholders. The proposed methodology has two phases. In the first phase, a simulation using an agent-based model was run over 12 months with 50,000 agents across a metropolitan area of 100 square kilometers, generating 182.5 million GPS records (10% sampled: 18 million) and 240,000 incident reports. In the second phase, the proposed methodology was validated over six months using 3,847 governance cases. Trajectory mining showed a correlation of 0.68 for air quality and 0.54 for noise complaints. In addition, the stakeholder network increased to 3,856 connections, up from 1,247 connections. Moreover, the AI system achieved a recommendation accuracy of 78.34%, reducing the response time by 91%, although its performance declined in complex cases.
Keywords: Agent-based modeling, urban environmental governance, multi-stakeholder participation, spatio-temporal data mining.
Copyright © Journal of Engineering, Project, and Production Management (EPPM-Journal).
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.
Requests for reprints and permissions at eppm.journal@gmail.com.
Citation: Li, S. (2026). An AI-Enabled Multi-Stakeholder Participation Model and Decision Support System for Urban Community Environmental Governance. Journal of Engineering, Project, and Production Management, 16(4), 2026-152.
