An Integrated KANO–AHP–AIGC Framework for the Sustainable Design of Science Popularisation Systems in Wetland Parks: A Case Study of Science Brochures

This study addresses the high degree of subjectivity and the supply–demand imbalance in wetland park science communication. Taking the Nanjing Longpao Yangtze River Provincial Wetland Park as a case study, it develops a data-driven, sustainability-oriented design framework integrating NVivo (qualitative data analysis software), the Analytic Hierarchy Process (AHP), the KANO model, Artificial Intelligence Generated Content (AIGC), and Fuzzy Comprehensive Evaluation (FCE) into a closed-loop methodology. A wetland database was constructed through field research and a literature review. User interviews (N = 73) were analysed using NVivo to distill core themes. AHP, based on 15 expert pairwise comparisons, identified Distinctive Plants (global weight 0.314) and Rare Bird Species (0.275) as priority design elements. The KANO model classified 20 science topics into Must-be (N = 5), One-dimensional (N = 2), and Attractive (N = 8) attributes. AIGC was then employed to generate a three-module promotional brochure (wetland flora, avifauna, and culture). FCE with 60 valid respondents confirmed all three modules achieved an ‘Excellent’ rating, validating the framework’s effectiveness. This study provides a replicable, sustainable design paradigm for wetland science communication.