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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
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    References listed on IDEAS

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    1. 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.
    2. 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).
    3. 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.
    4. 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.
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    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.

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