文献类型： 外文期刊

作者： Lin, Yue ¹ ; Zhang, Min ² ; Gan, Muye ¹ ; Huang, Lingyan ⁴ ; Zhu, Congmou ¹ ; Zheng, Qiming ⁵ ; You, Shixue ¹ ; Ye, Ziran ⁶ ; Shahtahmassebi, AmirReza ¹ ; Li, Yongjun ¹ ; Deng, Jinsong ¹ ; Zhang, Jing ¹ ; Zhang, Ling ⁸ ; Wang, Ke ¹ ;

作者机构： 1.Zhejiang Univ, Inst Agr Remote Sensing & Informat Technol, Coll Environm & Nat Resource, Hangzhou 310058, Peoples R China

2.Zhejiang Urban & Rural Planning Design Inst, Hangzhou 310030, Zhejiang, Peoples R China

3.Zhejiang Univ, Rural Dev Acad, Hangzhou 310058, Peoples R China

4.Zhejiang Univ City Coll, Coll Business, Hangzhou 310015, Zhejiang, Peoples R China

5.Natl Univ Singapore, Dept Biol Sci, Ctr Nat Based Climate Solut, 16 Sci Dr 4, Singapore 117558, Singapore

6.Zhejiang Acad Agr Sci, Inst Digital Agr, Hangzhou 310021, Peoples R China

7.Minist Nat Resources, Key Lab Urban Land Resources Monitoring & Simulat, Shenzhen 518000, Peoples R China

8.Hangzhou Xuelian Land Planning & Design Consultin, Hangzhou 310000, Zhejiang, Peoples R China

关键词： Ecosystem services; Urban green spaces; Urban planning and management; Supply-demand mismatches; Geographically weighted regression

期刊名称：JOURNAL OF CLEANER PRODUCTION （ 影响因子：11.072； 五年影响因子：11.016 ）

ISSN： 0959-6526

年卷期： 2022 年 336 卷

页码：

收录情况： SCI

摘要： Metropolitan environments have been confronted with green space configuration issues, which is reflected not only in quantitative deficits of resources, but also in spatial mismatches between ecosystem service (ES) supply and demand. Investigating on whether ES supply meets demand provides support for urban green space (UGS) planning and management. However, scientific spatial quantification methods for UGS-ES supply-demand matching status at fine scale remain insufficient, especially from a lack of practice on addressing extraterritorial effects in ES flows. Therefore, this research proposed a systematic framework for the fine-scale identification of mismatches and matches between UGS-ES supply and demand. Five UGS-ESs, i.e., cooling, air purification, noise reduction, landscape aesthetics, and outdoor recreation, were selected for a case study in the downtown area of Hangzhou, China. The framework comprised three key steps: (1) mapping UGS-ES supply and demand, (2) applying a demand-oriented geographically weighted regression (GWR) model to modify the spatial patterns of supply-demand matching degrees, and (3) identifying supply-demand mismatches and matches. The results showed that cooling and landscape aesthetics had the largest mismatched areas overall. Upon zoning by UGS social functions, commercial and public service lands had the largest the mismatches of cooling and outdoor recreation; residential areas had the largest mismatches of cooling and landscape aesthetics; yet few mismatches were found in public green spaces. UGSs in matched areas had more reasonable proportion of vegetation types and spatial configurations compared to the average. The comprehensive multiservice analysis of mismatches and matches helped identify priority areas and generate optimization suggestions based on trade-offs among ESs, vegetation types, and urban functions. This study demonstrates how fine-scale ES supply-demand matching analysis can support decision-making, thus promoting the integration of ES knowledge to achieve optimal UGS configurations in the future.