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The Identification and Use Efficiency Evaluation of Urban Industrial Land Based on Multi-Source Data

Author

Listed:
  • Lin Qiao

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Huiping Huang

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yichen Tian

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

Abstract

Urban industrial land (UIL), which is classified for industrial purposes, is an indispensable component of urban land. Obtaining up-to-date and timely UIL details from the industrial development perspective has practical significance for UIL planning. Therefore, we propose a practical method for integrating UIL identification and use efficiency evaluation at the parcel scale based on multi-source data. The Open Street Map (OSM) data were utilized to generate parcels, which served as basic analytical units. Point of Interest (POI) data combined with a Continuous Bag-of-Words (CBoW)-based Word2Vec model was utilized to acquire UIL information. The entropy-weight Technique for Order Preference by Similarity to Ideal Solution method, combined with economic and environmental UIL indicators obtained from remote sensing images, ground observation data, and statistical data, was used to evaluate UIL use efficiency, and the spatial distribution and utilization degree of UIL within Beijing’s fifth ring road was analyzed. The region within Beijing’s fifth ring road was classified into commercial land, industrial land, and other types, with an overall accuracy of 92.24%. With this method, we found that the distribution of UIL presented a ring structure developing outwards along the ring roads and contained concentrated commercial areas. UIL utilization exhibited a south–north differentiation, and industrial land had lower use efficiency. Our work fully utilized the available fine-scale multi-source data.

Suggested Citation

  • Lin Qiao & Huiping Huang & Yichen Tian, 2019. "The Identification and Use Efficiency Evaluation of Urban Industrial Land Based on Multi-Source Data," Sustainability, MDPI, vol. 11(21), pages 1-17, November.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:21:p:6149-:d:283409
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    References listed on IDEAS

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    1. Xiaodong Yang & Yongxiang Wu & Hang Dang, 2017. "Urban Land Use Efficiency and Coordination in China," Sustainability, MDPI, vol. 9(3), pages 1-12, March.
    2. Chuanzhun Sun & Chao Sun & Zhenshan Yang & Jikang Zhang & Yu Deng, 2016. "Urban Land Development for Industrial and Commercial Use: A Case Study of Beijing," Sustainability, MDPI, vol. 8(12), pages 1-18, December.
    3. Shili Chen & Haiyan Tao & Xuliang Li & Li Zhuo, 2018. "Detecting urban commercial patterns using a latent semantic information model: A case study of spatial-temporal evolution in Guangzhou, China," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-20, August.
    4. Xiaofeng Zhao & Lin Zhang & Xianjin Huang & Yuntai Zhao & Yunpeng Zhang, 2018. "Evolution of the Spatiotemporal Pattern of Urban Industrial Land Use Efficiency in China," Sustainability, MDPI, vol. 10(7), pages 1-12, June.
    5. Yu Liu & Xi Liu & Song Gao & Li Gong & Chaogui Kang & Ye Zhi & Guanghua Chi & Li Shi, 2015. "Social Sensing: A New Approach to Understanding Our Socioeconomic Environments," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 105(3), pages 512-530, May.
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    Cited by:

    1. Yin Ma & Minrui Zheng & Xinqi Zheng & Yi Huang & Feng Xu & Xiaoli Wang & Jiantao Liu & Yongqiang Lv & Wenchao Liu, 2023. "Land Use Efficiency Assessment under Sustainable Development Goals: A Systematic Review," Land, MDPI, vol. 12(4), pages 1-21, April.
    2. Pu, Wenfang & Zhang, Anlu & Wen, Lanjiao, 2021. "Can China’s resource-saving and environmentally friendly society really improve the efficiency of industrial land use?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 10(7).
    3. Wenfang Pu & Anlu Zhang & Lanjiao Wen, 2021. "Can China’s Resource-Saving and Environmentally Friendly Society Really Improve the Efficiency of Industrial Land Use?," Land, MDPI, vol. 10(7), pages 1-19, July.
    4. Xue, Dan & Yue, Li & Ahmad, Fayyaz & Draz, Muhammad Umar & Chandio, Abbas Ali & Ahmad, Munir & Amin, Waqas, 2022. "Empirical investigation of urban land use efficiency and influencing factors of the Yellow River basin Chinese cities," Land Use Policy, Elsevier, vol. 117(C).
    5. Haiyang Qiu & Xin Li & Long Zhang, 2023. "Influential Effect and Mechanism of Digital Finance on Urban Land Use Efficiency in China," Sustainability, MDPI, vol. 15(20), pages 1-21, October.
    6. Junheng Qi & Mingxing Hu & Bing Han & Jiemin Zheng & Hui Wang, 2022. "Decoupling Relationship between Industrial Land Expansion and Economic Development in China," Land, MDPI, vol. 11(8), pages 1-21, July.

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