IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i10p1814-d944081.html
   My bibliography  Save this article

Spatial Identification and Interactive Analysis of Urban Production—Living—Ecological Spaces Using Point of Interest Data and a Two-Level Scoring Evaluation Model

Author

Listed:
  • Ying Yang

    (Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518000, China
    Shenzhen Data Management Center of Planning and Natural Resources, Shenzhen 518000, China)

  • Yawen Liu

    (State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430070, China)

  • Congmou Zhu

    (Department of Land Resources Management, Zhejiang Gongshang University, Hangzhou 310018, China)

  • Xinming Chen

    (Territorial Consolidation Center in Zhejiang Province, Department of Natural Resources of Zhejiang Province, Hangzhou 310007, China)

  • Yi Rong

    (Zhejiang Digital Governance Space Planning and Design Co., Ltd., Hangzhou 310000, China)

  • Jing Zhang

    (Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518000, China
    Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China)

  • Bingbing Huang

    (Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China)

  • Longlong Bai

    (Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China)

  • Qi Chen

    (Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China)

  • Yue Su

    (College of Economics & Management, Anhui Agricultural University, Hefei 230036, China)

  • Shaofeng Yuan

    (Department of Land Resources Management, Zhejiang Gongshang University, Hangzhou 310018, China)

Abstract

Identifying urban production–living–ecological spaces and their interactive relationships is conducive to better understanding and optimizing urban space development. This paper took the main urban area of Hangzhou city as an example, and a two-level scoring evaluation model was constructed to accurately identify urban production–living–ecological spaces using point of interest (POI) data. Then, kernel density analysis, a spatial transfer matrix, and a bivariate spatial autocorrelation model were used to reveal the spatial patterns of urban production–living–ecological spaces and their interactive relationships during 2010 and 2019. The results showed that the proposed two-level scoring evaluation model combining both the physical area and density of POIs was effective in accurately identifying urban production–living–ecological spaces using POI data, with an identification accuracy of 88.9%. Urban production space was concentrated on the south bank of the Qiantang River and around the north of Hangzhou. Urban living space had the highest proportion, mainly distributed within the ring highway of Hangzhou in a contiguous distribution pattern, and urban ecological space was concentrated around West Lake and Xiang Lake. During 2010 and 2019, the expansion of urban production–living–ecological spaces had obvious spatial differences. Additionally, the mutual transformation between production and living spaces was more frequent during the study period and was mainly distributed within the ring highway of Hangzhou. There were significant positive spatial correlations between production and living and between living and ecological spaces, while a significant negative spatial correlation occurred between production and ecological spaces. The spatial correlations of urban production–living–ecological spaces revealed obvious spatial heterogeneity. This study proposed a two-level scoring evaluation model to accurately identify the spatial patterns of urban production–living–ecological spaces and their interactive relationships using POI data, which can provide detailed information and scientific references for urban spatial planning and management in rapidly urbanizing cities.

Suggested Citation

  • Ying Yang & Yawen Liu & Congmou Zhu & Xinming Chen & Yi Rong & Jing Zhang & Bingbing Huang & Longlong Bai & Qi Chen & Yue Su & Shaofeng Yuan, 2022. "Spatial Identification and Interactive Analysis of Urban Production—Living—Ecological Spaces Using Point of Interest Data and a Two-Level Scoring Evaluation Model," Land, MDPI, vol. 11(10), pages 1-17, October.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:10:p:1814-:d:944081
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/10/1814/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/10/1814/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shuaibing Zhang & Kaixu Zhao & Shuoyang Ji & Yafang Guo & Fengqi Wu & Jingxian Liu & Fei Xie, 2022. "Evolution Characteristics, Eco-Environmental Response and Influencing Factors of Production-Living-Ecological Space in the Qinghai–Tibet Plateau," Land, MDPI, vol. 11(7), pages 1-26, July.
    2. Zhuxiao Yu & Erqi Xu & Hongqi Zhang & Erping Shang, 2020. "Spatio-Temporal Coordination and Conflict of Production-Living-Ecology Land Functions in the Beijing-Tianjin-Hebei Region, China," Land, MDPI, vol. 9(5), pages 1-22, May.
    3. Zhang, Jing & Li, Sinan & Lin, Naifa & Lin, Yue & Yuan, Shaofeng & Zhang, Ling & Zhu, Jinxia & Wang, Ke & Gan, Muye & Zhu, Congmou, 2022. "Spatial identification and trade-off analysis of land use functions improve spatial zoning management in rapid urbanized areas, China," Land Use Policy, Elsevier, vol. 116(C).
    4. Lingyu Kong & Xiaodong Xu & Wei Wang & Jinxiu Wu & Meiying Zhang, 2021. "Comprehensive Evaluation and Quantitative Research on the Living Protection of Traditional Villages from the Perspective of “Production–Living–Ecology”," Land, MDPI, vol. 10(6), pages 1-25, May.
    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. Mingyan Ni & Yindi Zhao & Caihong Ma & Wenzhi Jiang & Yanmei Xie & Xiaolin Hou, 2023. "Spatial Identification and Change Analysis of Production-Living-Ecological Space Using Multi-Source Geospatial Data: A Case Study in Jiaodong Peninsula, China," Land, MDPI, vol. 12(9), pages 1-27, September.
    2. Bo Liu & Desheng Xue & Sijun Zheng, 2023. "Evolution and Influencing Factors of Manufacturing Production Space in the Pearl River Delta—Based on the Perspective of Global City-Region," Land, MDPI, vol. 12(2), pages 1-22, February.

    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. Peng Zeng & Sihui Wu & Zongyao Sun & Yujia Zhu & Yuqi Chen & Zhi Qiao & Liangwa Cai, 2021. "Does Rural Production–Living–Ecological Spaces Have a Preference for Regional Endowments? A Case of Beijing-Tianjin-Hebei, China," Land, MDPI, vol. 10(11), pages 1-21, November.
    2. Chenhao Zhu & Jonah Susskind & Mario Giampieri & Hazel Backus O’Neil & Alan M. Berger, 2023. "Optimizing Sustainable Suburban Expansion with Autonomous Mobility through a Parametric Design Framework," Land, MDPI, vol. 12(9), pages 1-31, September.
    3. Xiaofang Sun & Chao Yu & Junbang Wang & Meng Wang, 2020. "The Intensity Analysis of Production Living Ecological Land in Shandong Province, China," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    4. Zhang, Zuo & Li, Jiaming, 2022. "Spatial suitability and multi-scenarios for land use: Simulation and policy insights from the production-living-ecological perspective," Land Use Policy, Elsevier, vol. 119(C).
    5. Yangyang Yuan & Yuchen Yang & Ruijun Wang & Yuning Cheng, 2022. "Predicting Rural Ecological Space Boundaries in the Urban Fringe Area Based on Bayesian Network: A Case Study in Nanjing, China," Land, MDPI, vol. 11(11), pages 1-24, October.
    6. Shunqian Gao & Liu Yang & Hongzan Jiao, 2022. "Changes in and Patterns of the Tradeoffs and Synergies of Production-Living-Ecological Space: A Case Study of Longli County, Guizhou Province, China," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
    7. Gulmira Abbas & Alimujiang Kasimu, 2023. "Characteristics of Land-Use Carbon Emissions and Carbon Balance Zoning in the Economic Belt on the Northern Slope of Tianshan," Sustainability, MDPI, vol. 15(15), pages 1-27, July.
    8. Yanru Zhao & Xiaomin Zhao & Xinyi Huang & Jiaxin Guo & Guohui Chen, 2022. "Identifying a Period of Spatial Land Use Conflicts and Their Driving Forces in the Pearl River Delta," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
    9. Jiawei Qi & Yichen Zhang & Jiquan Zhang & Yanan Chen & Chenyang Wu & Chenyu Duan & Zhongshuai Cheng & Zengkai Pan, 2022. "Research on the Evaluation of Geological Environment Carrying Capacity Based on the AHP-CRITIC Empowerment Method," Land, MDPI, vol. 11(8), pages 1-17, July.
    10. Jinhua Xie & Gangqiao Yang & Ge Wang & Wei Xia, 2021. "How Do Network Embeddedness and Environmental Awareness Affect Farmers’ Participation in Improving Rural Human Settlements?," Land, MDPI, vol. 10(10), pages 1-20, October.
    11. Zhibo Lu & Qian Song & Jianyun Zhao, 2023. "Evolution of Landscape Ecological Risk and Identification of Critical Areas in the Yellow River Source Area Based on LUCC," Sustainability, MDPI, vol. 15(12), pages 1-16, June.
    12. Jianchun Fu & Shaoliang Zhang, 2021. "Functional Assessment and Coordination Characteristics of Production, Living, Ecological Function—A Case Study of Henan Province, China," IJERPH, MDPI, vol. 18(15), pages 1-15, July.
    13. Jinsong Zhang & Yiding Wang, 2023. "The Construction of the Landscape- and Village-Integrated Green Governance System Based on the Entropy Method: A Study from China," Agriculture, MDPI, vol. 13(9), pages 1-17, September.
    14. Yuchun Wang & Xiaoyan Lu & Jie Zhang & Yunfeng Ruan & Bingyi Wang, 2023. "Spatiotemporal Distributions of Multiple Land Use Functions and Their Coupling Coordination Degree in the Yangtze River Delta Urban Agglomeration, China," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    15. Xinghua Cui & Ning Xu & Wanxu Chen & Guanzheng Wang & Jiale Liang & Sipei Pan & Binqiao Duan, 2022. "Spatio-Temporal Variation and Influencing Factors of the Coupling Coordination Degree of Production-Living-Ecological Space in China," IJERPH, MDPI, vol. 19(16), pages 1-26, August.
    16. Yunlu Jiang & Haotian He & Haoyu Zhang & Yuee Cao & Ge Shi & Lin Feng & Jianjun Yang, 2023. "Study on the Evolution and Optimization of the Spatial Structure of the Oasis in the Arid Area: A Case Study of the Aksu River Basin in China," IJERPH, MDPI, vol. 20(6), pages 1-22, March.
    17. Rongxi Peng & Tao Liu & Guangzhong Cao, 2023. "Valuating Multifunctionality of Land Use for Sustainable Development: Framework, Method, and Application," Land, MDPI, vol. 12(1), pages 1-19, January.
    18. Yanbo, Qu & Shilei, Wang & Yaya, Tian & Guanghui, Jiang & Tao, Zhou & Liang, Meng, 2023. "Territorial spatial planning for regional high-quality development – An analytical framework for the identification, mediation and transmission of potential land utilization conflicts in the Yellow Ri," Land Use Policy, Elsevier, vol. 125(C).
    19. Dong Han & Jiajun Qiao & Qiankun Zhu & Jie Xiao & Yuling Ma, 2022. "Endogenous Driving Forces in Ecology-Production-Living Space Changes at Micro-Scale: A Mountain Town Example in Inland China," Land, MDPI, vol. 11(12), pages 1-30, December.
    20. Jun Luo & Xuebing Zhang & Peiji Shi, 2022. "Land Use Multi-Functionality and Zoning Governance Strategy of Densely Populated Areas in the Upper Reaches of the Yellow River: A Case Study of the Lanzhou–Xining Region, China," Land, MDPI, vol. 11(6), pages 1-23, June.

    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:11:y:2022:i:10:p:1814-:d:944081. 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.