{"title":"粤港澳大湾区新型城镇化与资源环境耦合效应趋势分析","authors":"Hongyi Dou , Guoqin Zhang","doi":"10.1016/j.ecolind.2025.113601","DOIUrl":null,"url":null,"abstract":"<div><div>Achieving sustainable urbanization necessitates the assurance of the stability and functionality of the urbanization-resource-environment system, but extant studies lack adequate methods for dynamic prediction and analysis of new urbanization characteristics. This study constructs an urbanization-resource-environment system dynamics (SD) model that highlights the new urbanization characteristics to simulate and predict the development trends from 1990 to 2035 at urban cluster and city scales. Additionally, it develops a comprehensive coupling coordination model to evaluate the multidimensional dynamics of the coupling relationship and the main control elements. The findings indicated that the urbanization-resource-environment coupling effects of various cities within the Greater Bay Area exhibit distinct spatial heterogeneities attributable to their disparate resource endowments and development processes, the coupling coordination development index (CDI) of core cities like Hong Kong and Shenzhen had declined by about 0.2, while peripheral cities like Huizhou sustained growth. However, the CDI of urban cluster fluctuating steadily at 0.63–0.72 with an average annual increase of about 0.2%, indicating minimal risk of imbalance in coupling development. Among these factors, urbanization indicators reveal a gradual deceleration in growth trend after 2025, while the resources utilization of the urban cluster tends to be stable, and the coordination of the environmental system relies more on intermittent policy regulation. Furthermore, the examination of trends and controlling factors offers policymakers the opportunity to implement targeted management strategies and multidimensional macro-control planning. The framework is also applicable to other rapidly developing urban clusters, providing a scientific basis for urban planning, ecological protection, and sustainable development.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113601"},"PeriodicalIF":7.0000,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Trend analysis of the coupling effect between new urbanization and resources-environment in the Guangdong-Hong Kong-Macao Greater Bay area\",\"authors\":\"Hongyi Dou , Guoqin Zhang\",\"doi\":\"10.1016/j.ecolind.2025.113601\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Achieving sustainable urbanization necessitates the assurance of the stability and functionality of the urbanization-resource-environment system, but extant studies lack adequate methods for dynamic prediction and analysis of new urbanization characteristics. This study constructs an urbanization-resource-environment system dynamics (SD) model that highlights the new urbanization characteristics to simulate and predict the development trends from 1990 to 2035 at urban cluster and city scales. Additionally, it develops a comprehensive coupling coordination model to evaluate the multidimensional dynamics of the coupling relationship and the main control elements. The findings indicated that the urbanization-resource-environment coupling effects of various cities within the Greater Bay Area exhibit distinct spatial heterogeneities attributable to their disparate resource endowments and development processes, the coupling coordination development index (CDI) of core cities like Hong Kong and Shenzhen had declined by about 0.2, while peripheral cities like Huizhou sustained growth. However, the CDI of urban cluster fluctuating steadily at 0.63–0.72 with an average annual increase of about 0.2%, indicating minimal risk of imbalance in coupling development. Among these factors, urbanization indicators reveal a gradual deceleration in growth trend after 2025, while the resources utilization of the urban cluster tends to be stable, and the coordination of the environmental system relies more on intermittent policy regulation. Furthermore, the examination of trends and controlling factors offers policymakers the opportunity to implement targeted management strategies and multidimensional macro-control planning. The framework is also applicable to other rapidly developing urban clusters, providing a scientific basis for urban planning, ecological protection, and sustainable development.</div></div>\",\"PeriodicalId\":11459,\"journal\":{\"name\":\"Ecological Indicators\",\"volume\":\"175 \",\"pages\":\"Article 113601\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2025-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Indicators\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1470160X2500531X\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X2500531X","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Trend analysis of the coupling effect between new urbanization and resources-environment in the Guangdong-Hong Kong-Macao Greater Bay area
Achieving sustainable urbanization necessitates the assurance of the stability and functionality of the urbanization-resource-environment system, but extant studies lack adequate methods for dynamic prediction and analysis of new urbanization characteristics. This study constructs an urbanization-resource-environment system dynamics (SD) model that highlights the new urbanization characteristics to simulate and predict the development trends from 1990 to 2035 at urban cluster and city scales. Additionally, it develops a comprehensive coupling coordination model to evaluate the multidimensional dynamics of the coupling relationship and the main control elements. The findings indicated that the urbanization-resource-environment coupling effects of various cities within the Greater Bay Area exhibit distinct spatial heterogeneities attributable to their disparate resource endowments and development processes, the coupling coordination development index (CDI) of core cities like Hong Kong and Shenzhen had declined by about 0.2, while peripheral cities like Huizhou sustained growth. However, the CDI of urban cluster fluctuating steadily at 0.63–0.72 with an average annual increase of about 0.2%, indicating minimal risk of imbalance in coupling development. Among these factors, urbanization indicators reveal a gradual deceleration in growth trend after 2025, while the resources utilization of the urban cluster tends to be stable, and the coordination of the environmental system relies more on intermittent policy regulation. Furthermore, the examination of trends and controlling factors offers policymakers the opportunity to implement targeted management strategies and multidimensional macro-control planning. The framework is also applicable to other rapidly developing urban clusters, providing a scientific basis for urban planning, ecological protection, and sustainable development.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.