Abstract

Against the backdrop of the interweaving sustainable development goals and rapid urbanization, the governance of community human settlement environment (CHSE) is confronted with the “scale paradox” of the disconnection between macro policies and micro demands. This study addresses the core research question: How to construct a high-quality and sustainable governance framework that links micro-community data with macro-district-level policies so as to resolve the scale paradox? It constructs a four-dimensional governance framework of “institutional supply - multi-party co-construction – cultural cultivation - technological adaptation”, and establishes an innovative data-driven evaluation model linking community data to district-level policies. Drawing on multi-source data from 80 communities in Beijing, the study finds that the governance level exhibits a spatial differentiation characterized by a “high center and low periphery” (average score: 4.30/5.0). The four dimensions exhibit distinct characteristics: The institutional supply dimension is high and balanced, the multi-party co-construction dimension is highly polarized, and the cultural cultivation and technological adaptation dimensions are highly correlated. Spatial heterogeneity provides a new perspective for precise governance. This study achieves three major innovations through a hybrid approach: Proposing a four-dimensional collaborative framework with clear internal logic at the theoretical level, establishing an extensible policy diagnostic tool with detailed AHP implementation at the methodological level, and revealing the policy value of spatial patterns for datadriven decision-making at the practical level. Based on this, a mechanized path is proposed to provide replicable solutions for the modernization of governance in megacities. Research findings confirm that through multi-dimensional collaborative governance, the CHSE can be transformed from “survival-oriented” to “quality-oriented”, providing an important reference for global sustainable urban development.