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Greenway service supply and public demand in Guangzhou city,China
Institution:1. Research Center for Urban Forestry, Key Laboratory for Silviculture and Forest Ecosystem of State Forestry and Grassland Administration, The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, China;2. The Key Laboratory for Silviculture and Conservation of Ministry of Education, College of Forestry, Beijing Forestry University, Beijing 100083, China;3. School of Biological Sciences, The University of Hong Kong, Hong Kong, China;1. Guangzhou Institute of Forestry and Landscape Architecture, Guangzhou 510405, China;2. Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Ministry of Education, Nanning Normal University, Nanning 530001, China;1. College of Resources and Environment, Huazhong Agricultural University, Wuhan, China;2. Research Center for Territorial Spatial Governance and Governance and Green Development, Huazhong Agricultural University, Wuhan, China;3. College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan, China;4. Department of Land Management, Huazhong Agricultural University, Wuhan, China
Abstract:Small-size green spaces contain convenient service capabilities for urban residents and satisfy the daily needs of citizens for high-quality ecological products. A greenway is a kind of linear green space, which can create a beautiful and livable environment in a high-density urban area. This study explored whether the services provided by the greenway can meet the daily needs of urban residents for green space in Guangzhou, a mega city in south China. Based on the Analytic Hierarchy Process (AHP) method and the entropy weight (EW) method, both the coupling coordination degree model and spatial autocorrelation analysis were adopted to quantify and determine the coordination degree of greenway service supply and public demand in Guangzhou. The results showed that the comprehensive score of the greenway service supply (GSS) subsystem and the public demand (PD) subsystem in Guangzhou was 0.3865 ± 0.08 and 0.3778 ± 0.03 (mean±s.e., n = 11), respectively. The GSS subsystem score was slightly higher than that of PD subsystem (P > 0.05), indicating that the two subsystems had no significant differences. The supply and demand subsystem of ten districts (excluding Conghua) in Guangzhou achieved different levels of coordination, and the average coupling coordination degree was 0.5885, suggesting that the districts were barely balanced at the city level. The Moran's I value was 0.580, indicating that the coupling coordination degree had significant positive global spatial autocorrelation and showed a spatial agglomeration effect. Furthermore, the local Moran’s I spatial autocorrelation showed that three districts (i.e., Yuexiu, Haizhu and Liwan) formed a high supply-high demand cluster and a spatial difference was detected when coupling the GSS and PD in Guangzhou. Therefore, we proposed the differentiated optimization strategies based on the results of the coupling coordination degree and the development status of each district and the entire city. This knowledge can better guide the subsequent construction and development of greenway in Guangzhou and may be useful for adjacent cities in Asia-Pacific region.
Keywords:Coupling coordination degree  Ecological connectivity  Guangdong-Hong Kong-Macao Greater Bay Area  Social benefit  Spatial autocorrelation  Supply and demand system  Urban greenway
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