Identification of community low-carbon renewal potential types based on the built environment and behavioral intention: A case study of Nanjing’s Central Urban Area.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:A novel framework combining built environment and behavioral intention for community classification, useful for urban sustainability research.

🏢実務担当者:Targeted strategies for different community types can guide urban planners and renewable energy service companies in prioritizing interventions.

🏛政策担当者:Provides a decision-support tool for city governments to allocate resources for low-carbon community renewal based on empirical evidence.

Against the backdrop of built stock renewal and low-carbon transition, we constructed a two-dimensional evaluation framework covering built environment and behavioral intention to address the dilemmas in community renewal, namely "adequate spatial conditions but insufficient practical actions" and "strong willingness with poor implementation feasibility". Taking 35 communities in the central urban area of Nanjing as research samples, 766 valid questionnaire responses were collected. We used the entropy weight-TOPSIS method, the Fogg behavior model and GIS spatial analysis to quantitatively assess and classify the low-carbon renewal potential of target communities. The results revealed a widespread mismatch between community built environment and residents’ low-carbon intention. All communities were categorized into four types with distinct spatial distribution characteristics based on their matching degrees: the collaborative leading type (accounting for 6%), concentrated in the central downtown and riverside zones; the environment-leading type (37%), clustered in the central main urban area; the intention-leading type (46%), mostly located in the peripheral downtown and riverside new towns; and the dual-low constrained type (11%), scattered across outer riverside areas. Targeted differentiated collaborative renewal strategies were proposed accordingly. As a leading demonstration zone, collaborative leading communities should promote deep energy-saving transformation and joint construction and governance. Environment-leading communities should focus on scene micro updates to enhance convenience, stimulate action motivation and trigger mechanisms. Intention-leading communities should be given to addressing the shortcomings of facilities and promoting basic renovation for those who are willing to take the lead, combined with participatory discussions to lower the threshold for implementation. Dual-low constrained communities should adopt gradual updates, prioritize improving basic livability and energy-saving conditions, and cultivate low-carbon capabilities. This research can provide scientific decision support for high-quality green and low-carbon renewal of urban communities across China.

• openalex https://doi.org/10.57760/sciencedb.cjae.00129first seen 2026-06-25 04:48:02