Communication Patterns for Building Cooperation in Managing Pm 2.5 Particulate Matter Problems of Local Administrative Organizations: A Case Study of Pakkret City Municipality, Nonthaburi Province

Abstract

This study aimed to (1) examine how particulate matter (PM2.5) problems, management approaches, and stakeholder roles are represented in the media texts of Pak Kret City Municipality, Nonthaburi Province, Thailand; (2) analyze the communication patterns, components, and strategies used to foster understanding, participation, and intersectoral collaboration; and (3) synthesize a collaborative communication model for local administrative organizations in addressing PM2.5 pollution. A qualitative case study approach was employed. Data were collected through in-depth interviews, document analysis, media text analysis, and non-participant observation. Key informants were purposively selected from municipal administrators, operational officers, academics, experts, educational institution representatives, community members, residents, business operators, and network partners. Data were analyzed using qualitative content analysis, textual analysis, and thematic analysis. Data credibility was established through triangulation and member checking.

The findings revealed that (1) the municipality represented PM2.5 pollution through five dimensions: an invisible health threat, spatially differentiated risks, population-specific vulnerabilities, health inequalities, and a cross-boundary problem requiring multisectoral collaboration. The municipality served as a policy setter, information manager, communicator, and network facilitator, while other stakeholders acted as information recipients and providers, implementation partners, and co-developers of solutions.        (2) Five communication patterns were identified: monitoring and warning, knowledge and understanding development, protection of vulnerable groups, participation and collaboration promotion, and knowledge transfer and network expansion. Key strategies included using locally grounded data, translating scientific information into actionable recommendations, tailoring communication to specific populations and areas, engaging trusted messengers, and creating shared benefits. (3) A six-stage collaborative communication model was synthesized: understanding local conditions through data; translating information into practical action; targeting specific groups and areas; establishing dialogue and trust; implementing collaborative actions based on mutual benefits; and reflecting, learning, and expanding networks. These findings demonstrate that communication constitutes a strategic mechanism and essential infrastructure for collaborative PM2.5 management at the local level.