IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i22p15122-d974714.html
   My bibliography  Save this article

Research on Green Space Service Space Based on Crowd Aggregation and Activity Characteristics under Big Data—Take Tacheng City as an Example

Author

Listed:
  • Tai Zhang

    (College of Ecology and Environment, Xinjiang University, Urumqi 830046, China)

  • Bin Wang

    (College of Ecology and Environment, Xinjiang University, Urumqi 830046, China)

  • Yisong Ge

    (College of Ecology and Environment, Xinjiang University, Urumqi 830046, China)

  • Chengzhi Li

    (College of Ecology and Environment, Xinjiang University, Urumqi 830046, China
    Key Laboratory of Oasis Ecology of Ministry of Education, Xinjiang University, Urumqi 830046, China
    Xinjiang Jinghe Observation and Research Station of Temperate Desert Ecosystem, Ministry of Education, Jinghe 833300, China)

Abstract

People-oriented planning has become the mainstream of urban space design. As an important research object of urban space, the accessibility and service level of accessibility and service level of green space as important indicators to evaluate the level of urban livability cannot be truly fed back to people’s daily life. Therefore, based on big data and from the perspective of crowd activities and aggregation characteristics, this study analyzes the shortage of green space service space in Tacheng City and puts forward suggestions for improvement. The main conclusions are as follows: (1) The satisfaction of green space based on service scope covers up the imbalance of green space resources enjoyed by actual crowd activities and aggregation. (2) Although the accessibility of green space obtained by population density meets the needs in space, it cannot take care of the potential needs generated by daily crowd activities and aggregation, which leads to the overall spatial imbalance of accessibility. (3) The comprehensive analysis shows that the northeast and southwest regions are the focus of the later planning and construction. The southwest region echoes with the old urban area and attracts people’s daily activities. The woodland in the northeast region, as the main green space supply, meets the potential needs of the daily population activities and aggregation of the new development urban area and the old urban area, and also serves as a place for rest and entertainment to meet the needs of the activities and aggregation of the accidental behavior of the people in the new and old urban areas after the opening up.

Suggested Citation

  • Tai Zhang & Bin Wang & Yisong Ge & Chengzhi Li, 2022. "Research on Green Space Service Space Based on Crowd Aggregation and Activity Characteristics under Big Data—Take Tacheng City as an Example," IJERPH, MDPI, vol. 19(22), pages 1-15, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:15122-:d:974714
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/22/15122/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/22/15122/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Helen Roberts & Bernd Resch & Jon Sadler & Lee Chapman & Andreas Petutschnig & Stefan Zimmer, 2018. "Investigating the Emotional Responses of Individuals to Urban Green Space Using Twitter Data: A Critical Comparison of Three Different Methods of Sentiment Analysis," Urban Planning, Cogitatio Press, vol. 3(1), pages 21-33.
    2. Yao Chang & Dongbing Li & Zibibula Simayi & Shengtian Yang & Maliyamuguli Abulimiti & Yiwei Ren, 2022. "Spatial Pattern Analysis of Xinjiang Tourism Resources Based on Electronic Map Points of Interest," IJERPH, MDPI, vol. 19(13), pages 1-18, June.
    3. Kai Cao & Hui Guo & Ye Zhang, 2019. "Comparison of Approaches for Urban Functional Zones Classification Based on Multi-Source Geospatial Data: A Case Study in Yuzhong District, Chongqing, China," Sustainability, MDPI, vol. 11(3), pages 1-19, January.
    4. Qing Li & Kaili Peng & Peng Cheng, 2021. "Community-Level Urban Green Space Equity Evaluation Based on Spatial Design Network Analysis (sDNA): A Case Study of Central Wuhan, China," IJERPH, MDPI, vol. 18(19), pages 1-18, September.
    5. Philip Stessens & Ahmed Z. Khan & Marijke Huysmans & Frank Canters, 2017. "Analysing urban green space accessibility and quality: A GIS-based model as spatial decision support for urban ecosystem services in Brussels," ULB Institutional Repository 2013/284472, ULB -- Universite Libre de Bruxelles.
    6. Meng Guo & Bingxi Liu & Yu Tian & Dawei Xu, 2020. "Equity to Urban Parks for Elderly Residents: Perspectives of Balance between Supply and Demand," IJERPH, MDPI, vol. 17(22), pages 1-18, November.
    7. Yunfeng Hu & Yueqi Han, 2019. "Identification of Urban Functional Areas Based on POI Data: A Case Study of the Guangzhou Economic and Technological Development Zone," Sustainability, MDPI, vol. 11(5), pages 1-15, March.
    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. Yilun Cao & Yuhan Guo & Yuhao Fang & Xinwei He, 2023. "Refuge Green Space Equity: A Case Study of Third Ring Road on Chengdu," Land, MDPI, vol. 12(7), pages 1-22, July.

    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. Maimaitizunong Keyimu & Zulihuma Abulikemu & Aishanjiang Abudurexiti, 2024. "Quantitative Evaluation of the Equity of Public Service Facility Layout in Urumqi City for Sustainable Development," Sustainability, MDPI, vol. 16(12), pages 1-15, June.
    2. Bo Liu & Desheng Xue & Yiming Tan, 2019. "Deciphering the Manufacturing Production Space in Global City-Regions of Developing Countries—a Case of Pearl River Delta, China," Sustainability, MDPI, vol. 11(23), pages 1-26, December.
    3. Chiara Cortinovis & Grazia Zulian & Davide Geneletti, 2018. "Assessing Nature-Based Recreation to Support Urban Green Infrastructure Planning in Trento (Italy)," Land, MDPI, vol. 7(4), pages 1-20, September.
    4. Kangxu Wang & Weifeng Wang & Tongtong Li & Shengjun Wen & Xin Fu & Xinhao Wang, 2023. "Optimizing Living Service Amenities for Diverse Urban Residents: A Supply and Demand Balancing Analysis," Sustainability, MDPI, vol. 15(16), pages 1-24, August.
    5. Yuewen Yang & Dongyan Wang & Zhuoran Yan & Shuwen Zhang, 2021. "Delineating Urban Functional Zones Using U-Net Deep Learning: Case Study of Kuancheng District, Changchun, China," Land, MDPI, vol. 10(11), pages 1-21, November.
    6. Philip Stessens & Frank Canters & Marijke Huysmans & Ahmed Z. Khan, 2020. "Urban green space qualities: An integrated approach towards GIS-based assessment reflecting user perception," ULB Institutional Repository 2013/298795, ULB -- Universite Libre de Bruxelles.
    7. Ruixue Liu & Jing Xiao, 2020. "Factors Affecting Users’ Satisfaction with Urban Parks through Online Comments Data: Evidence from Shenzhen, China," IJERPH, MDPI, vol. 18(1), pages 1-22, December.
    8. Chunyu Chen & Linglan Bi & Kuanfan Zhu, 2021. "Study on Spatial-Temporal Change of Urban Green Space in Yangtze River Economic Belt and Its Driving Mechanism," IJERPH, MDPI, vol. 18(23), pages 1-20, November.
    9. Ting Liu & Gang Cheng & Jie Yang, 2023. "Multi-Scale Recursive Identification of Urban Functional Areas Based on Multi-Source Data," Sustainability, MDPI, vol. 15(18), pages 1-24, September.
    10. Amy Phillips & Ahmed Z. Khan & Frank Canters, 2021. "Use-Related and Socio-Demographic Variations in Urban Green Space Preferences," Sustainability, MDPI, vol. 13(6), pages 1-22, March.
    11. Yingxue Rao & Yi Zhong & Qingsong He & Jingyi Dai, 2022. "Assessing the Equity of Accessibility to Urban Green Space: A Study of 254 Cities in China," IJERPH, MDPI, vol. 19(8), pages 1-20, April.
    12. Beibei Yu & Zhonghui Wang & Haowei Mu & Li Sun & Fengning Hu, 2019. "Identification of Urban Functional Regions Based on Floating Car Track Data and POI Data," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
    13. Amy Phillips & Ahmed Z. Khan & Frank Canters, 2021. "Use-related and socio-demographic variations in urban green space preferences," ULB Institutional Repository 2013/326192, ULB -- Universite Libre de Bruxelles.
    14. Langjiao Li & Qingyun Du & Fu Ren & Xiangyuan Ma, 2019. "Assessing Spatial Accessibility to Hierarchical Urban Parks by Multi-Types of Travel Distance in Shenzhen, China," IJERPH, MDPI, vol. 16(6), pages 1-23, March.
    15. Liu, Hongxiao & Hamel, Perrine & Tardieu, Léa & Remme, Roy P. & Han, Baolong & Ren, Hai, 2022. "A geospatial model of nature-based recreation for urban planning: Case study of Paris, France," Land Use Policy, Elsevier, vol. 117(C).
    16. Shengrui Zhang & Lei Chi & Tongyan Zhang & Yingjie Wang, 2022. "Spatial Pattern and Influencing Factors of Tourism Resources in Northwestern Ethnic Areas in China—A Case Study of Longde County," IJERPH, MDPI, vol. 19(24), pages 1-20, December.
    17. Obinna Justice Ubani & Micheal Oloyede Alabi & Emmanuel Ndukwe Chiemelu & Andrew Okosun & Chinwe Sam-Amobi, 2023. "Influence of Spatial Accessibility and Environmental Quality on Youths’ Visit to Green Open Spaces (GOS) in Akure, Nigeria," Sustainability, MDPI, vol. 15(17), pages 1-21, September.
    18. Anna Busłowska & Jacek Marcinkiewicz, 2023. "Social Cohesion of Functional Urban Areas (Example of Eastern Poland)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 167(1), pages 451-473, June.
    19. Christopher Tirri & Hunter Swanson & Mahbubur Meenar, 2021. "Finding the “Heart” in the Green: Conducting a Bibliometric Analysis to Emphasize the Need for Connecting Emotions with Biophilic Urban Planning," IJERPH, MDPI, vol. 18(18), pages 1-19, September.
    20. Xin Yang & Shuaishuai Bo & Zhaojie Zhang, 2023. "Classifying Urban Functional Zones Based on Modeling POIs by Deepwalk," Sustainability, MDPI, vol. 15(10), pages 1-13, May.

    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:jijerp:v:19:y:2022:i:22:p:15122-:d:974714. 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.