Supplementary Tables

Purpose The dataset aims to assess the validity of the Urban Health 8Ps Framework, a proposed model for evaluating urban health through eight dimensions: People, Planet, Portability, Place, Participation, Policy, Prosperity, and Peace. The study leverages AI-generated indicators, expert validation, and statistical analysis to refine and validate the framework, ensuring its relevance and applicability, particularly in the context of Egyptian cities. Scope Framework Development: Introduces the 8Ps Framework, integrating social, environmental, economic, and governance factors affecting urban health. Aligns with existing tools like WHO’s Urban HEART and OECD’s Better Life Index. AI-Generated Indicators: Uses AI models (Deep-AI, ChatGPT, Bard) to extract, classify, and synthesize urban health indicators. Tailors indicators to Egyptian urban challenges (e.g., pollution, infrastructure). Expert Validation: Engages 25 urban experts to evaluate the relevance of indicators via psychometric analysis (e.g., I-CVI, CVR). Includes demographic breakdowns (gender, age, profession) to assess bias or consensus.