Urgency, Feasibility, Synergy, and Typology: A Framework for Identifying Priority of Urban Green Infrastructure Intervention in Sustainable Urban Renewal
Dingran Wang, Rengqi Dai, Zihan Luo, Yuhui Wang
Abstract
Urban built-up areas confront significant environmental challenges and growing demand for enhanced residents’ well-being. Prioritizing urban green infrastructure (UGI) interventions is crucial for sustainable urban renewal. We propose a six-step framework that integrates urgency, synergy, feasibility, and typology to identify UGI intervention priorities. The framework targets detailed planning units (DPUs) and was applied to Xi’an, China. First, we assess the risks of supply–demand mismatches related to four key urban ecosystem services (UESs), namely air purification, temperature regulation, runoff regulation, and recreation. K-means clustering analysis is utilized to classify the risk typology. Next, we use the dynamic weighting method to diagnose the urgency of comprehensive risk, then evaluate the potential for synergy optimization between DPUs using local univariate and bivariate spatial autocorrelation analysis. The proportion of urban renewal land area in DPUs is employed as an indicator to evaluate the feasibility of the method. Lastly, we adopt the TOPSIS method to identify the priority ranking. Our research reveals that 51.7% of DPUs in Xi’an are at high risk of multiple supply–demand mismatches for UESs and that seven risk types need targeted optimization strategies. The DPUs ranked in the top 30 can be selected as priority UGI intervention units based on urgency, synergy, and feasibility. This study provides a scientific basis for decision making on UGI interventions in sustainable urban renewal.