IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v14y2025i4p730-d1623080.html
   My bibliography  Save this article

Optimizing Green Spaces Significantly Improves Wind Environment and Accessibility in County Towns

Author

Listed:
  • Dan-Yin Zhang

    (School of Architecture and Urban-Rural Planning, Fuzhou University, Fuzhou 350108, China)

  • Ling Yang

    (Institute of Geography, Ruhr-Universität Bochum, 44801 Bochum, Germany)

  • Li-Yi Feng

    (School of Architecture and Urban-Rural Planning, Fuzhou University, Fuzhou 350108, China)

  • Jiang Liu

    (School of Architecture and Urban-Rural Planning, Fuzhou University, Fuzhou 350108, China)

  • Xin-Chen Hong

    (School of Architecture and Urban-Rural Planning, Fuzhou University, Fuzhou 350108, China)

Abstract

With the increasing frequency of extreme disasters, effectively utilizing park green spaces in both daily life and disaster scenarios has emerged as a new challenge, particularly in county-level cities. In this context, the core planning area of Anxi County in Quanzhou was selected as the study site. By adjusting the layout and scale of park green spaces, this research investigates how such modifications influence the quality of the urban wind environment and green space accessibility in county-level cities. The results show the following: (1) Under the vegetation ratio of trees–shrubs–herbaceous plants, the ventilation performance of the urban wind environment improved at a daily wind speed of 5 m/s. The wind speed increased from the current low base speed (0–1 m/s) to a moderate speed (2–5 m/s), significantly enhancing the comfort of the population. (2) Under the vegetation ratio of trees–shrubs–herbaceous plants, the overall disaster-prevention performance of the county improved. During typhoon wind speeds (50 m/s), the wind speed gradually decreased from partially higher speeds (40–50 m/s) to lower speeds (10–20 m/s), resulting in a significant improvement in the wind environment. (3) After optimizing the layout of park green spaces, accessibility was greatly enhanced, better meeting the needs of the population in the developed area.

Suggested Citation

  • Dan-Yin Zhang & Ling Yang & Li-Yi Feng & Jiang Liu & Xin-Chen Hong, 2025. "Optimizing Green Spaces Significantly Improves Wind Environment and Accessibility in County Towns," Land, MDPI, vol. 14(4), pages 1-25, March.
  • Handle: RePEc:gam:jlands:v:14:y:2025:i:4:p:730-:d:1623080
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/14/4/730/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/14/4/730/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiaoling Li & Chunliang Xiu & Ye Wei & Hong S. He, 2020. "Evaluating Methodology for the Service Extent of Refugee Parks in Changchun, China," Sustainability, MDPI, vol. 12(14), pages 1-16, July.
    2. Hao Wu & Lingbo Liu & Yang Yu & Zhenghong Peng, 2018. "Evaluation and Planning of Urban Green Space Distribution Based on Mobile Phone Data and Two-Step Floating Catchment Area Method," Sustainability, MDPI, vol. 10(1), pages 1-11, January.
    3. Shaowei Wu & Xiaojie Yao & Yinqi Qu & Yawen Chen, 2023. "Ecological Benefits and Plant Landscape Creation in Urban Parks: A Study of Nanhu Park, Hefei, China," Sustainability, MDPI, vol. 15(24), pages 1-15, December.
    4. Páez, Antonio & Scott, Darren M. & Morency, Catherine, 2012. "Measuring accessibility: positive and normative implementations of various accessibility indicators," Journal of Transport Geography, Elsevier, vol. 25(C), pages 141-153.
    Full references (including those not matched with items on IDEAS)

    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. Mengying Cui & David Levinson, 2018. "Accessibility analysis of risk severity," Transportation, Springer, vol. 45(4), pages 1029-1050, July.
    2. Daniel Oviedo & Lynn Scholl & Marco Innao & Lauramaria Pedraza, 2019. "Do Bus Rapid Transit Systems Improve Accessibility to Job Opportunities for the Poor? The Case of Lima, Peru," Sustainability, MDPI, vol. 11(10), pages 1-24, May.
    3. Piotr Rosik & Julia Wójcik, 2022. "Transport Infrastructure and Regional Development: A Survey of Literature on Wider Economic and Spatial Impacts," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    4. Lin, Jen-Jia & Cheng, Yu-Chun, 2016. "Access to jobs and apartment rents," Journal of Transport Geography, Elsevier, vol. 55(C), pages 121-128.
    5. Karner, Alex & Niemeier, Deb, 2013. "Civil rights guidance and equity analysis methods for regional transportation plans: a critical review of literature and practice," Journal of Transport Geography, Elsevier, vol. 33(C), pages 126-134.
    6. Ivanize Silva & Rafael Santos & António Lopes & Virgínia Araújo, 2018. "Morphological Indices as Urban Planning Tools in Northeastern Brazil," Sustainability, MDPI, vol. 10(12), pages 1-18, November.
    7. Chen, Wendong & Cheng, Long & Chen, Xuewu & Chen, Jingxu & Cao, Mengqiu, 2021. "Measuring accessibility to health care services for older bus passengers: A finer spatial resolution," Journal of Transport Geography, Elsevier, vol. 93(C).
    8. Rezaei, Nazanin & Todd-Blick, Annika & Fujita, K. Sydny & Popovich, Natalie & Needell, Zachary & Poliziani, Cristian & Caicedo, Juan David & Guirado, Carlos & Spurlock, C. Anna, 2024. "At the nexus of equity and transportation modeling: Assessing accessibility through the Individual Experienced Utility-Based Synthesis (INEXUS) metric," Journal of Transport Geography, Elsevier, vol. 115(C).
    9. Vale, David S. & Viana, Cláudia M. & Pereira, Mauro, 2018. "The extended node-place model at the local scale: Evaluating the integration of land use and transport for Lisbon's subway network," Journal of Transport Geography, Elsevier, vol. 69(C), pages 282-293.
    10. (Ato) Xu, Wangtu & Zhou, Jiangping & Yang, Linchuan & Li, Ling, 2018. "The implications of high-speed rail for Chinese cities: Connectivity and accessibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 308-326.
    11. Miloslava Plachkinova & Au Vo & Brian Hilton & Rahul Bhaskar, 2018. "Response to Delamater’s Comment on “A Conceptual Framework for Quality Healthcare Accessibility: A Scalable Approach for Big Data Technologies”," Information Systems Frontiers, Springer, vol. 20(2), pages 311-314, April.
    12. Li, Zheng, 2018. "The impact of metro accessibility on residential property values: An empirical analysis," Research in Transportation Economics, Elsevier, vol. 70(C), pages 52-56.
    13. Lei Mu & Lijun Xing & Ying Jing & Qinjiang Hu, 2023. "Spatial Optimization of Park Green Spaces by an Improved Two-Step Optimization Model from the Perspective of Maximizing Accessibility Equity," Land, MDPI, vol. 12(5), pages 1-20, April.
    14. Liu, Zhongmei & Zhu, A-Xing & Zhang, Wenxin & Ren, Mei, 2021. "An improved potential-based approach to measuring the daily accessibility of HSR," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 271-284.
    15. Patrícia C. Melo & Conceição Rego & Paulo R. Anciães & Nuno Guiomar & José Muñoz‐Rojas, 2022. "Does road accessibility to cities support rural population growth? Evidence for Portugal between 1991 and 2011," Journal of Regional Science, Wiley Blackwell, vol. 62(2), pages 443-470, March.
    16. Papa, Enrica & Coppola, Pierluigi & Angiello, Gennaro & Carpentieri, Gerardo, 2017. "The learning process of accessibility instrument developers: Testing the tools in planning practice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 108-120.
    17. Raquel Pérez-delHoyo & María Dolores Andújar-Montoya & Higinio Mora & Virgilio Gilart-Iglesias & Rafael Alejandro Mollá-Sirvent, 2021. "Participatory Management to Improve Accessibility in Consolidated Urban Environments," Sustainability, MDPI, vol. 13(15), pages 1-22, July.
    18. Bittencourt, Tainá A. & Giannotti, Mariana, 2023. "Evaluating the accessibility and availability of public services to reduce inequalities in everyday mobility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 177(C).
    19. Xu, Mengya & Xin, Jing & Su, Shiliang & Weng, Min & Cai, Zhongliang, 2017. "Social inequalities of park accessibility in Shenzhen, China: The role of park quality, transport modes, and hierarchical socioeconomic characteristics," Journal of Transport Geography, Elsevier, vol. 62(C), pages 38-50.
    20. Klumpenhouwer, Willem & Huang, Wei, 2021. "A flexible framework for measuring accessibility with destination bundling," Journal of Transport Geography, Elsevier, vol. 91(C).

    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:jlands:v:14:y:2025:i:4:p:730-:d:1623080. 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.