Unknown

Dataset Information

Comprehensive framework for optimizing ecological security and infrastructure in the Guangdong, Hong Kong, Macao Greater Bay Area.


ABSTRACT: Urban ecological security (ES) is increasingly challenged by rapid economic development. Previous studies have primarily focused on the physical characteristics of the ecosystem, rarely analyzing the interdependencies and impacts of natural, social, and economic development on ecological security. To address this gap, we examined the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) and proposed a novel comprehensive framework that includes ecological security assessment (ESA) and ecological infrastructure (EI) planning. The Driver-Pressure-State-Impact-Response-Structure (DPSIR-S) framework and obstacle degree model (ODM) were used to assess the ES level and analyze the impacts of natural, social, and economic development on it. Subsequently, leveraging natural language processing (NLP) te

SUBMITTER: Yang M 

PROVIDER: S-EPMC12627816 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature