Collaborative decision-making for localized emergency response in major railroad projects

[EN] This paper examines major railroad projects¿ emergency response decision-making process, focusing on timeliness, cost-effectiveness, and public involvement. It explores the optimal collaborative strategies of local governments, enterprises, and the public during the construction phase. A novel...

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Detalles Bibliográficos
Autores: Lei, Yuanyuan, Zhang, Jing-Xiao, Zhang, Ruixue, Yu, Lean, Skitmore, Martin, Ballesteros-Pérez, Pablo|||0000-0002-4629-9664
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/230575
Acceso en línea:https://riunet.upv.es/handle/10251/230575
Access Level:acceso abierto
Palabra clave:Evolutionary game
Major railroad projects
Localized emergency response
Multi-agent decision
10.- Reducir las desigualdades entre países y dentro de ellos
16.- Promover sociedades pacíficas e inclusivas para el desarrollo sostenible, facilitar acceso a la justicia para todos y crear instituciones eficaces, responsables e inclusivas a todos los niveles
Descripción
Sumario:[EN] This paper examines major railroad projects¿ emergency response decision-making process, focusing on timeliness, cost-effectiveness, and public involvement. It explores the optimal collaborative strategies of local governments, enterprises, and the public during the construction phase. A novel tripartite decision-making framework is proposed, based on an asymmetric evolutionary game model and dynamic simulation methods. The results show a stable equilibrium in emergency response strategies emerges when public engagement is prioritized. Government subsidy policies are found to significantly influence the strategic choices of all agents, emphasizing the critical role of coordinated collaboration. The study highlights the importance of public participation and multi-agent cooperation in addressing complex emergency challenges. These findings provide valuable guidance for improving localized emergency response strategies, enhancing collaborative decision-making, optimizing resource allocation, increasing response efficiency, and supporting policy formulation in major railroad projects.