A framework to integrate multifunctionality analyses into green infrastructure planning

Context Green infrastructure (GI) has become an integral part of the process leading toward urban sustainability because it provides multiple ecosystem services that contribute to urban ecosystems and human health. Planners and managers have therefore attempted to understand and improve GI multifunctionality. Objectives This study has characterized and mapped GI multifunctionality in the Fengtai District of Beijing based on the ecosystem services (ES) perspective and has developed an adaptive model to improve its multifunctionality. The study has aimed to: (1) assess and map GI multifunctional degree, (2) characterize GI multifunctional types, and (3) propose adaptive solutions based on characterization of GI multifunctional types. Methods Biophysical models and social questionnaires were used to quantify and map ES, ES hotspots, and ES bundles to identify the degree of multifunctionality and characterize GI multifunctional types. An adaptive model was designed to improve GI multifunctionality for local planning and design practice. Results Three GI multifunctional degrees were mapped, and areas with high multifunctional degree were found to account for only 5.55% of the study area. Seven GI multifunctional types were identified by the distinct heterogeneity of their compositions and function sets. These types of GI also implied different improvement strategies for GI planning and design practice. The adaptive model offers integrated solutions for preserving, restoring, and embedding levels that correspond to the characterization of GI multifunctional types. Conclusions The ES-based framework proposed in this paper integrates multifunctionality analyses and can be helpful to urban planners and designers in adaptive GI planning.

Automated summary

This study characterized and mapped the multifunctionality of green infrastructure in the Fengtai District of Beijing, aiming to assess and improve the degree of multifunctionality, identify different types of multifunctionality, and propose adaptive solutions. The results showed that only 5.55% of the study area had high multifunctional degree, and seven types of multifunctionality were identified, each requiring different improvement strategies for planning and design practice. The adaptive model developed offers integrated solutions for preserving, restoring, and embedding levels corresponding to the characterization of GI multifunctional types.