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Multiple Analysis of the Relationship between the Characteristics of Plant Landscape and the Spatiotemporal Aggregation of the Population

Author

Listed:
  • Guan Liu

    (Department of Landscape Architecture, School of Horticulture and Forestry, Huazhong Agricultural University, Wuhan 430070, China)

  • Jizhong Shao

    (Department of Landscape Architecture, School of Horticulture and Forestry, Huazhong Agricultural University, Wuhan 430070, China)

  • Yubin Zhang

    (Suzhou Garden Design Institute, Suzhou 215002, China)

  • Minge Yang

    (Department of Landscape Architecture, School of Horticulture and Forestry, Huazhong Agricultural University, Wuhan 430070, China)

  • Xiaosi Zhang

    (Department of Landscape Architecture, School of Horticulture and Forestry, Huazhong Agricultural University, Wuhan 430070, China)

  • Wentao Wan

    (Department of Landscape Architecture, School of Horticulture and Forestry, Huazhong Agricultural University, Wuhan 430070, China)

  • Yuxin Zhang

    (Department of Landscape Architecture, School of Horticulture and Forestry, Huazhong Agricultural University, Wuhan 430070, China)

  • Linjie Wang

    (School of Architecture, Nanjing Tech University, Nanjing 211816, China)

Abstract

The reformation and development of the education system in China have led to environmental upgrades in a great number of universities. Amid this improvement, plant landscapes hold an important role in improving the environment and highlighting the campus culture. However, due to the lack of in-depth exploration of the relationship between plant landscape characteristics and the spatiotemporal aggregation of the population in current research, the design methods of campus plant landscapes are not thoroughly studied. Therefore, the mutual improvement between landscaping and population activity has not been maximized. In this study, we collected 52 plant landscape units from Northwest A&F University as the research objects. We investigated the patterns of population aggregation on campus plant landscapes through quantitative analysis of the characteristics of plant landscapes and the temporal and spatial aggregation of people. Multiple regression analysis was used to explore the complex relationship between the characteristics of each landscape and the spatial-temporal agglomeration of people. Traditional survey questionnaires and field surveys, kernel density analysis, Python crawler technology, raincloud plots analysis, correlation analysis, principal component analysis, and other methods were used to further measure and analyze plant landscape characteristics under the influence of population density from the two levels of various characteristic elements and different landscape units, and explain the mechanism affecting population aggregation, striving to provide a theoretical basis and practical support for the sustainable development of the campus environment and landscape design methods.

Suggested Citation

  • Guan Liu & Jizhong Shao & Yubin Zhang & Minge Yang & Xiaosi Zhang & Wentao Wan & Yuxin Zhang & Linjie Wang, 2022. "Multiple Analysis of the Relationship between the Characteristics of Plant Landscape and the Spatiotemporal Aggregation of the Population," Sustainability, MDPI, vol. 14(10), pages 1-24, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:6254-:d:820287
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    References listed on IDEAS

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    1. Jizhong Shao & Minge Yang & Guan Liu & Ye Li & Dan Luo & Yanran Tan & Yuxin Zhang & Qize Song, 2021. "Urban Sub-Center Design Framework Based on the Walkability Evaluation Method: Taking Coomera Town Sub-Center as an Example," Sustainability, MDPI, vol. 13(11), pages 1-23, June.
    2. Tommaso Agasisti & Cristian Barra & Roberto Zotti, 2019. "Research, knowledge transfer, and innovation: The effect of Italian universities’ efficiency on local economic development 2006−2012," Journal of Regional Science, Wiley Blackwell, vol. 59(5), pages 819-849, November.
    3. Martin Carree & Antonio Malva & Enrico Santarelli, 2014. "The contribution of universities to growth: empirical evidence for Italy," The Journal of Technology Transfer, Springer, vol. 39(3), pages 393-414, June.
    4. Daniela De Filippo & Leyla Angélica Sandoval-Hamón & Fernando Casani & Elías Sanz-Casado, 2019. "Spanish Universities’ Sustainability Performance and Sustainability-Related R&D+I," Sustainability, MDPI, vol. 11(20), pages 1-21, October.
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