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Research on the Satisfaction of Beijing Waterfront Green Space Landscape Based on Social Media Data

Author

Listed:
  • Siya Cheng

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Zheran Zhai

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Wenzhuo Sun

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Yuan Wang

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Rui Yu

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Xiaoyu Ge

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

Abstract

Urban blue–green space is essential to the normal functioning of the urban landscape ecosystem, and it is also a significant metric for assessing the quality of urban human settlements. In China’s territorial space planning, the overall planning strategy’s implementation depends on constructing the blue–green space network in the urbanized construction area. This paper used 85 typical riverside parks in Beijing’s blue–green space as the research object, collecting and analyzing multiple social media user data. It explored the main factors that influenced people’s satisfaction with the landscape design and sensory perception of urban waterfront green space from the perspectives of parks beside different river systems, parks of different types, and parks in different districts. The distinction between urban waterfront green space evaluation was further discussed through variance analysis. The research revealed the following findings: (1) by comparing the total number of park reviews in different seasons, it could be observed that tourists evidently preferred the spring landscape, and the winter landscape construction of waterfront green space needs to be improved. (2) By comparing the review stars of different parks, it could be observed that tourists appreciated parks with multiple functions, excellent recreation facilities, complete management services and parks close to the city center. Functions and services became important influencing factors for park evaluation. (3) There was room for improvement in water ecology in the river landscapes of parks adjacent to various river systems, and people paid more attention to the level of service facilities. (4) According to different categories of parks, people’s demand for service facilities, activity organization, cultural displays and other aspects was different. (5) Among parks in different districts, people preferred the distinctive animal and plant landscapes and recreational activities of parks in districts on the outskirts of the city. According to the conclusions, suggestions were made for optimizing and improving Beijing’s waterfront green space, providing managers with technical support and a basis for decision-making.

Suggested Citation

  • Siya Cheng & Zheran Zhai & Wenzhuo Sun & Yuan Wang & Rui Yu & Xiaoyu Ge, 2022. "Research on the Satisfaction of Beijing Waterfront Green Space Landscape Based on Social Media Data," Land, MDPI, vol. 11(10), pages 1-25, October.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:10:p:1849-:d:947898
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    References listed on IDEAS

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    Cited by:

    1. Chenming Zhang & Bei He & Wei Li & Chunyang Guo, 2023. "Spatial Distribution and Accessibility Evaluation of National Water Parks in China," Sustainability, MDPI, vol. 15(15), pages 1-17, July.
    2. Xiaojia Liu & Xi Chen & Yan Huang & Weihong Wang & Mingkan Zhang & Yang Jin, 2023. "Landscape Aesthetic Value of Waterfront Green Space Based on Space–Psychology–Behavior Dimension: A Case Study along Qiantang River (Hangzhou Section)," IJERPH, MDPI, vol. 20(4), pages 1-22, February.
    3. Yirong Luo & Zhisen Lin, 2023. "Spatial Accessibility Analysis and Optimization Simulation of Urban Riverfront Space Based on Space Syntax and POIs: A Case Study of Songxi County, China," Sustainability, MDPI, vol. 15(20), pages 1-20, October.
    4. Jishu Huang & Yun Wang, 2023. "Research on Social Service Effectiveness Evaluation for Urban Blue Spaces—A Case Study of the Huangpu River Core Section in Shanghai," Land, MDPI, vol. 12(7), pages 1-26, July.

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