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The Urban Park Green Spaces Landscape Premium Functional Value Accounting System: Construction and Application

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  • Lingling Duan

    (Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China
    Key Laboratory of Forest Ecology and Environment, State Forestry and Grassland Administration, Beijing 100091, China
    Dagangshan National Key Field Observation and Research Station for Forest Ecosystem, Xinyu 338033, China)

  • Xiang Niu

    (Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China
    Key Laboratory of Forest Ecology and Environment, State Forestry and Grassland Administration, Beijing 100091, China
    Dagangshan National Key Field Observation and Research Station for Forest Ecosystem, Xinyu 338033, China)

  • Bing Wang

    (Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China
    Key Laboratory of Forest Ecology and Environment, State Forestry and Grassland Administration, Beijing 100091, China
    Dagangshan National Key Field Observation and Research Station for Forest Ecosystem, Xinyu 338033, China)

Abstract

Urban park green spaces have the functions of improving the urban ecological environment and providing recreational services, and at the same time, they have a certain effect on the value of the surrounding residential property. To quantitatively assess the value of the landscape premium function of park green space, many scholars have carried out research exploration and adopted a variety of methods (such as the contingent valuation method (CVM), travel cost method (TCM) and hedonic price method (HPM)), which have developed from simple theoretical models with single factors to complex empirical models with multiple factors. Among them, the hedonic price method has become the mainstream research method, and in recent years, it has been widely adopted in combination with GIS technology. In terms of research objects, single park green space or multiple park green spaces in large cities are the main focus, while there are fewer studies on park green spaces in built-up areas of small and medium-sized cities. In terms of research content, there are more studies on the value-added coefficient of landscape premium and influence distance, and there are fewer studies on the total value of landscape premium. This article aims to calculate the total landscape premium value of all park green spaces in the built-up areas of small and medium-sized cities, proposing a complete and operable accounting system for the functional value of park green space landscape premiums by combining GIS with a hedonic pricing model and remote sensing image interpretation methods. For the first time, a method for interpreting the height of residential buildings within the benefit range of landscape premium through remote sensing images is proposed, and then the floor area ratio of residential plots is estimated, so as to estimate the total area of actual beneficial buildings. Therefore, this paper takes Chifeng City, a small and medium-sized city, as a case study, and empirically demonstrates the assessment of the landscape premium function of parks and green spaces in the built-up area of Chifeng City by using this accounting system. Research shows that this method has certain feasibility, not only calculating the total value of landscape premium but also addressing the issue in existing studies where all areas within the potential range of landscape premium function are counted as appreciated areas, leading to an overestimation of the premium. It further advances the accuracy of accounting for the value of landscape premium function of urban park green space and provides theoretical reference for the planning and construction of urban park green space.

Suggested Citation

  • Lingling Duan & Xiang Niu & Bing Wang, 2024. "The Urban Park Green Spaces Landscape Premium Functional Value Accounting System: Construction and Application," Sustainability, MDPI, vol. 16(23), pages 1-17, December.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:23:p:10612-:d:1536009
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    References listed on IDEAS

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