A Dual‐Dimensional Framework for Sustainable Urban Neighborhood Regeneration: Integrating Indicator Evaluation and Decision Support

ABSTRACT

As megacities grapple with aging residential neighborhoods, urban regeneration is increasingly critical to addressing decay, enhancing functionality, and fostering sustainable development. This study develops a dual‐dimensional framework integrating indicator evaluation and matrix decision‐making to assess sustainable urban neighborhood regeneration. A 40‐indicator system covering sustainability and physical conditions is constructed. Using the data from government statistics, GIS, field measurements, and questionnaire surveys, the framework is applied to seven neighborhoods in Xixiang Subdistrict, Shenzhen, China, with all indicators standardized to calculate the scores. A four‐quadrant decision‐making matrix translates indicator scores into differentiated regeneration pathways, including demolition and reconstruction, comprehensive renovation, micro‐regeneration, and protective development. Results show that physically deteriorated and low‐sustainability neighborhoods are prioritized for demolition and reconstruction, while others follow comprehensive renovation, micro‐regeneration, or protective development depending on their specific conditions. The matrix also reveals discrepancies between top‐down and bottom‐up assessments, informing governance mode recommendations, including government‐led, resident‐led, or balanced, for each neighborhood type. This indicator‐driven decision support framework offers a reference for local governments to prioritize interventions and tailor strategies to specific neighborhood conditions, contributing to more targeted urban regeneration planning.