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Exploring the Relationship Between Visual Perception of the Urban Riverfront Core Landscape Area and the Vitality of Riverfront Road: A Case Study of Guangzhou

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  • Shawei Zhang

    (School of Architecture & Applied Arts, Guangzhou Academy of Fine Arts, Guangzhou 510006, China)

  • Junwen Lu

    (School of Architecture & Applied Arts, Guangzhou Academy of Fine Arts, Guangzhou 510006, China)

  • Ran Guo

    (School of Architecture & Applied Arts, Guangzhou Academy of Fine Arts, Guangzhou 510006, China)

  • Yiding Yang

    (School of Architecture & Applied Arts, Guangzhou Academy of Fine Arts, Guangzhou 510006, China
    Guangdong Provincial Key Laboratory of Environmental Design and Social Innovation, Guangzhou 510006, China)

Abstract

The vitality of riverfront districts, as a crucial component of urban livability, is profoundly influenced by human visual perception of the surrounding environment. This study takes the Pearl River in Guangzhou as an example and explores the relationship between the visual perception of the urban riverfront core landscape area and the vitality of Riverfront Road. Employing subjective environment perception prediction methods and analyzing the riverfront landscape pictures captured by the research team, we quantified six essential perceptual dimensions. Furthermore, we evaluated the vitality of Riverfront Road through a four-step process: 1. measuring key visual indices of Riverfront Road, including the green view index (GVI), water view index (WVI), sky view index (SVI), and building view index (BVI); 2. evaluating the proximity of cultural landmarks to Riverfront Road; 3. calculating the convenience of driving, buses, and subways for Riverfront Road with the network analysis method; 4. deriving the vitality value of Riverfront Road through the combination of hotspot data from Baidu. With the application of random forest and result comparisons, we obtained a comprehensive analysis of the correlation between visual perception of the urban riverfront core landscape area and the vitality of Riverfront Road. The results reveal the significant correlation between these two factors and highlight that visual perception of the old city landscape area is superior to that of the new city, although the cultural landmarks and transportation convenience play essential roles in the improvement of vitality in Riverfront Road. It is evident that relying solely on visual design may fail to prominently boost vitality. Overall, spatial design should adopt a multidimensional approach, integrating various factors such as transportation convenience, social interaction venues, cultural activities, etc., to create a cohesive vitality network.

Suggested Citation

  • Shawei Zhang & Junwen Lu & Ran Guo & Yiding Yang, 2024. "Exploring the Relationship Between Visual Perception of the Urban Riverfront Core Landscape Area and the Vitality of Riverfront Road: A Case Study of Guangzhou," Land, MDPI, vol. 13(12), pages 1-28, December.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:12:p:2142-:d:1540009
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    References listed on IDEAS

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    1. Graeme Evans, 2003. "Hard‐branding the cultural city – from Prado to Prada," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 27(2), pages 417-440, June.
    2. Ling-Qing Zhang & Wei Deng & Jing Yan & Xiao-Hong Tang, 2019. "The Influence of Multi-Dimensional Cognition on the Formation of the Sense of Place in an Urban Riverfront Space," Sustainability, MDPI, vol. 12(1), pages 1-15, December.
    3. Shuhan Shi & G. Mathias Kondolf & Dihua Li, 2018. "Urban River Transformation and the Landscape Garden City Movement in China," Sustainability, MDPI, vol. 10(11), pages 1-20, November.
    4. Minrui Zheng & Wenwu Tang & Akinwumi Ogundiran & Jianxin Yang, 2020. "Spatial Simulation Modeling of Settlement Distribution Driven by Random Forest: Consideration of Landscape Visibility," Sustainability, MDPI, vol. 12(11), pages 1-19, June.
    5. Anne Taufen & Ken Yocom, 2021. "Transitions in Urban Waterfronts: Imagining, Contesting, and Sustaining the Aquatic/Terrestrial Interface," Sustainability, MDPI, vol. 13(1), pages 1-11, January.
    6. Banister, David, 2008. "The sustainable mobility paradigm," Transport Policy, Elsevier, vol. 15(2), pages 73-80, March.
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