To enhance participatory e-planning and smart city, the integration of building information modeling (BIM) and city information modeling (CIM) technologies was investigated in this research, focusing on Shenzhen’s, China, pioneering smart city initiatives. The impact of BIM-CIM integration on design accuracy, construction efficiency, public engagement, and information transparency were employed through mixed-methods empirical analysis—including data mining, descriptive statistics, regression analysis, and content analysis—to evaluate. The synergistic use of BIM’s three-dimensional modeling and CIM’s macroscale data fusion significantly reduces design errors (12 pipeline collisions resolved in the case), construction changes (reduced by 75%), and rework costs (30%–50% savings), while compressing project timelines by 15%–25%. Life cycle costs decreased by 12.2% via predictive maintenance (30% equipment lifespan extension) and material waste reduction, with return on investment rising from 21% to 29%. Moreover, the CIM platform’s real-time data synchronization and internet of things (IoT)-driven monitoring (1,024 sensors, 23.4 GB/day traffic data) enhance decision-making precision, achieving 95% slope risk warning coverage and <5-min accident response times. Public participation metrics demonstrate substantial engagement, with 18 ± 4.2 weekly logins per user and a 98.5% construction quality rate, underscoring the platforms’ role in fostering transparency and inclusivity. Crucially, policy-enabled standardization (100% BIM submissions, 40% subsidies) proved foundational for scalability, though replicability requires adaptation to fiscal constraints. The research provides the first evidence-based framework positioning BIM-CIM integration as a catalyst for equitable urban governance, offering actionable strategies for global smart city transitions.
Wu et al. (Thu,) studied this question.