Abstract:Abstract: To address the prevalent issue in technology park smartness evaluation systems—where hardware dominates while software service elements are neglected—this paper proposes a comprehensive evaluation framework based on service effectiveness. Guided by the principle of "effectiveness first," the study systematically constructs a multi-level evaluation system covering eight core business domains, including public safety and green low-carbon development. Using a five-level architecture of "Business Domain-Category-Subcategory-Activity-Process," the indicators are decomposed layer by layer, forming an evaluation matrix comprising 757 fine-grained indicators. A weighted evaluation model is then established through the entropy weight method, enabling synergistic quantitative analysis of hardware construction and software services. To validate the model's scientific rigor, an empirical study was conducted across five technology parks—X1, A, T, H, and X2. The results show a Pearson correlation coefficient of 0.844 between the evaluation scores and enterprise/employee satisfaction. The research demonstrates a significant positive correlation between the proposed evaluation system and the actual experience of park occupants. It effectively guides technology parks in transitioning from "facility intelligence" to "service ecosystem." Furthermore, by classifying park smartness maturity into six levels (L0–L5), the framework provides quantitative decision support for strategic planning, optimized resource allocation, and tiered development of smart parks. This holds substantial practical value for promoting high-quality regional economic development.