# Research on quantitative evaluation of China’s Intelligent Construction Policy (CICP) based on the integration of PMC index model and multi-dimensional analytical framework

## TL;DR

This paper evaluates China's Intelligent Construction Policies from 2010 to 2022 using a quantitative model, showing improvements over time and suggesting ways to enhance future policies.

## Contribution

A novel integration of the PMC index model and multi-dimensional analysis to evaluate the evolution and effectiveness of China’s CICP policies.

## Key findings

- Policy quality improved significantly from 2020–2022, with higher PMC scores and more 'Excellent' and 'Positive' policies.
- Policies transitioned from fragmented to integrated strategies, focusing on industrialization, digitalization, and sustainability.
- Gaps remain in policy scope, effectiveness, and incentive mechanisms.

## Abstract

This study presents a systematic evaluation of China’s Intelligent Construction Policies (CICP) from 2010 to 2022, employing a quantitative approach based on the Policy Modeling Consistency (PMC) index model. Through text mining and bibliometric analysis, we assess the formulation quality, evolution, and effectiveness of 30 national policies, identifying distinct phases of development: the Cultivation and Exploration Phase (CEP: 2010–2019) and the Development and Promotion Phase (DPP: 2020–2022). The results demonstrate a significant improvement in policy quality, with the DPP achieving higher PMC scores and more frequent issuance of “Excellent” and “Positive” policies. Key findings reveal the transition from fragmented, exploratory policies to integrated, goal-oriented strategies, emphasizing industrialization, digitalization, and sustainability. However, gaps remain in policy scope, effectiveness, and incentive mechanisms. The study concludes with targeted recommendations for optimizing CICP, including expanding policy scope, enhancing implementation frameworks, and fostering public-private innovation ecosystems to align with technological advancements and industry demands.