IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i11p6761-d829342.html
   My bibliography  Save this article

Characteristics of Urban Parks in Chengdu and Their Relation to Public Behaviour and Preferences

Author

Listed:
  • Zhiqiao Li

    (Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Qin Liu

    (Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China)

  • Yuxin Zhang

    (China Quality Certification Centre, Chengdu 610020, China)

  • Kun Yan

    (Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China)

  • Yangyang Yan

    (Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China)

  • Pei Xu

    (Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China)

Abstract

Urban parks can offer a variety of ecosystem services such as beautifying the landscape, ecological regulation, leisure and recreation, and maintaining biodiversity. Understanding how urban parks affect people’s lives can help guide the construction and planning of parks in a direction that is more beneficial to the public. Therefore, it is worth studying the extent to which different urban parks with different characteristics affect public behaviour and preferences. This paper takes five typical urban parks in Chengdu and analyses the relationship between characteristics of the park ecosystem and public behaviour and preferences. The characteristics include the park scale, blue-green space ratio, plant diversity, and degree of re-wilding. Visit frequency, stay time, and park preference characterise public behaviour and preferences. The results show: (1) There are obvious differences in the ecosystem characteristics of the five parks: Qinglong Lake Wetland Park is the largest; the proportion of blue-green space in Jiangjiayiyuan Garden is the highest; the degree of re-wilding in Bailuwan Wetland Park is the highest; the proportion of green space and plant diversity in Guixi Ecological Park is the highest; and the proportion of blue space in Jincheng Lake Wetland Park is the highest. (2) There are differences in public behaviour and preferences for different parks. Tourists visit Qinglong Lake Wetland Park the most in spring and autumn and they choose Guixi Ecological Park instead in summer and winter. The public stays longer in Qinglong Lake Wetland Park and shorter in Jincheng Lake Wetland Park. (3) The scale of urban parks, the proportion of blue-green space, and the degree of re-wilding, especially the proportion of blue space, have a positive impact on the public’s evaluation and promote public visits. The results of the study could help improve public awareness of the relationship between park characteristics and ecological services and well-being.

Suggested Citation

  • Zhiqiao Li & Qin Liu & Yuxin Zhang & Kun Yan & Yangyang Yan & Pei Xu, 2022. "Characteristics of Urban Parks in Chengdu and Their Relation to Public Behaviour and Preferences," Sustainability, MDPI, vol. 14(11), pages 1-16, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6761-:d:829342
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/11/6761/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/11/6761/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Haoying Wang & Yunfeng Hu & Li Tang & Qi Zhuo, 2020. "Distribution of Urban Blue and Green Space in Beijing and Its Influence Factors," Sustainability, MDPI, vol. 12(6), pages 1-20, March.
    2. Jörg Priess & Luis Valença Pinto & Ieva Misiune & Julia Palliwoda, 2021. "Ecosystem Service Use and the Motivations for Use in Central Parks in Three European Cities," Land, MDPI, vol. 10(2), pages 1-15, February.
    3. Maria Elena Menconi & Ambra Sipone & David Grohmann, 2021. "Complex Systems Thinking Approach to Urban Greenery to Provide Community-Tailored Solutions and Enhance the Provision of Cultural Ecosystem Services," Sustainability, MDPI, vol. 13(21), pages 1-17, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Weiting Shan & Chunliang Xiu & Yining Meng, 2022. "How to Design Greenway on Urban Land Utilization: Linking Place Preference, Perceived Health Benefit, and Environmental Perception," IJERPH, MDPI, vol. 19(20), pages 1-20, October.
    2. Peng Zhou & Siwei Sun & Tao Chen & Yue Pan & Wanqing Xu & Hailu Zhang, 2022. "Impacts of Social Inequality, Air Pollution, Rural–Urban Divides, and Insufficient Green Space on Residents’ Health in China: Insight from Chinese General Social Survey Data Analysis," IJERPH, MDPI, vol. 19(21), pages 1-17, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jun Li & Melasutra Md. Dali & Nikmatul Adha Nordin, 2023. "Connectedness among Urban Parks from the Users’ Perspective: A Systematic Literature Review," IJERPH, MDPI, vol. 20(4), pages 1-20, February.
    2. Ina Falfán & Luis Zambrano, 2023. "Lacustrine Urban Blue Spaces: Low Availability and Inequitable Distribution in the Most Populated Cities in Mexico," Land, MDPI, vol. 12(1), pages 1-18, January.
    3. Huidi Hao & Minmin Zhang & Jinxi Wang & Shuting Jiang & Juanjuan Ma & Yafan Hu & Hongya Niu & Balaji Panchal & Yuzhuang Sun, 2022. "Distribution Pattern and Enrichment Mechanism of Selenium in Topsoil in Handan Se-Enriched Belt, North China," Sustainability, MDPI, vol. 14(6), pages 1-21, March.
    4. Richard Smardon, 2021. "Ecosystem Services for Scenic Quality Landscape Management: A Review," Land, MDPI, vol. 10(11), pages 1-10, October.
    5. Chao Xiao & Qian Shi & Chen-Jie Gu, 2021. "Assessing the Spatial Distribution Pattern of Street Greenery and Its Relationship with Socioeconomic Status and the Built Environment in Shanghai, China," Land, MDPI, vol. 10(8), pages 1-19, August.
    6. MariaElena Menconi & Rosaria Abbate & Luca Simone & David Grohmann, 2023. "Urban Green System Planning Insights for a Spatialized Balance between PM 10 Dust Retention Capacity of Trees and Urban Vehicular PM 10 Emissions," Sustainability, MDPI, vol. 15(7), pages 1-17, March.
    7. Ioannis Kosmas & Theofanis Papadopoulos & Georgia Dede & Christos Michalakelis, 2023. "The Use of Artificial Neural Networks in the Public Sector," FinTech, MDPI, vol. 2(1), pages 1-15, March.
    8. Gabriele Zabelskyte & Nadja Kabisch & Zaneta Stasiskiene, 2022. "Patterns of Urban Green Space Use Applying Social Media Data: A Systematic Literature Review," Land, MDPI, vol. 11(2), pages 1-21, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6761-:d:829342. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.