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A Comparative Study of Urban Park Preferences in China and The Netherlands

Author

Listed:
  • Pauline van den Berg

    (Urban Systems and Real Estate Unit, Department of the Built Environment, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands)

  • Minou Weijs-Perrée

    (Urban Systems and Real Estate Unit, Department of the Built Environment, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands)

  • Gamze Dane

    (Urban Systems and Real Estate Unit, Department of the Built Environment, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands)

  • Esther van Vliet

    (Urban Systems and Real Estate Unit, Department of the Built Environment, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands)

  • Hui Liu

    (Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Siao Sun

    (Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Aloys Borgers

    (Urban Systems and Real Estate Unit, Department of the Built Environment, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands)

Abstract

Urban parks play an important role in tackling several urban challenges such as air pollution, urban heat, physical inactivity, social isolation, and stress. In order to fully seize the benefits of urban parks, it is important that they are attractive for various groups of residents. While several studies have investigated residents’ preferences for urban park attributes, most of them have focused on a single geographical context. This study aimed to investigate differences in park preferences, specifically between Dutch and Chinese park users. We collected data in the Netherlands and China using an online stated choice experiment with videos of virtual parks. The data were analyzed with a random parameter mixed logit model to identify differences in preferences for park attributes between Chinese and Dutch citizens, controlling for personal characteristics. Although the results showed a general preference for parks with many trees, several differences were found between the Dutch and Chinese respondents. These differences concerned vegetation (composition of trees and flowers), the presence of benches and play facilities, and could probably be explained by differences in park use, values of nature, and landscape preferences. The findings of this study can be used as design guidelines by urban planners and landscape designers to design attractive and inclusive parks for different target groups.

Suggested Citation

  • Pauline van den Berg & Minou Weijs-Perrée & Gamze Dane & Esther van Vliet & Hui Liu & Siao Sun & Aloys Borgers, 2022. "A Comparative Study of Urban Park Preferences in China and The Netherlands," IJERPH, MDPI, vol. 19(8), pages 1-16, April.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:8:p:4632-:d:792036
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    References listed on IDEAS

    as
    1. Bertram, Christine & Rehdanz, Katrin, 2015. "The role of urban green space for human well-being," Ecological Economics, Elsevier, vol. 120(C), pages 139-152.
    2. Minou Weijs-Perrée & Gamze Dane & Pauline van den Berg & Machiel van Dorst, 2019. "A Multi-Level Path Analysis of the Relationships between the Momentary Experience Characteristics, Satisfaction with Urban Public Spaces, and Momentary- and Long-Term Subjective Wellbeing," IJERPH, MDPI, vol. 16(19), pages 1-19, September.
    3. Prince Adjei & Frank Agyei, 2015. "Biodiversity, environmental health and human well-being: analysis of linkages and pathways," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 17(5), pages 1085-1102, October.
    4. Craig Bullock, 2008. "Valuing Urban Green Space: Hypothetical Alternatives and the Status Quo," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 51(1), pages 15-35.
    5. Hensher,David A. & Rose,John M. & Greene,William H., 2015. "Applied Choice Analysis," Cambridge Books, Cambridge University Press, number 9781107465923.
    6. Borgers, Aloys & Vosters, Cindy, 2011. "Assessing preferences for mega shopping centres: A conjoint measurement approach," Journal of Retailing and Consumer Services, Elsevier, vol. 18(4), pages 322-332.
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    Cited by:

    1. Wenhai Zhang & Jiang Xin, 2023. "Green Spaces and the Spontaneous Renewal of Historic Neighborhoods: A Case Study of Beijing’s Dashilar Community," Sustainability, MDPI, vol. 15(24), pages 1-27, December.
    2. Shengnan Li & Baohang Hui & Cai Jin & Xuehan Liu & Fan Xu & Chong Su & Tan Li, 2022. "Considering Farmers’ Heterogeneity to Payment Ecosystem Services Participation: A Choice Experiment and Agent-Based Model Analysis in Xin’an River Basin, China," IJERPH, MDPI, vol. 19(12), pages 1-19, June.
    3. Deyi Kong & Zujian Chen & Cheng Li & Xinhui Fei, 2022. "Investigating the Usage Patterns of Park Visitors and Their Driving Factors to Improve Urban Community Parks in China: Taking Jinan City as an Example," IJERPH, MDPI, vol. 19(23), pages 1-20, November.

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