IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2019i1p174-d301606.html
   My bibliography  Save this article

Identification of Industrial Land Parcels and Its Implications for Environmental Risk Management in the Beijing–Tianjin–Hebei Urban Agglomeration

Author

Listed:
  • Zishu Wang

    (School of Environment, Tsinghua University, Beijing 100084, China
    Department of Ecology and Environment Research, Beijing Tsinghua Holdings Human Settlements Environment Institute, Beijing 100083, China)

  • Jie Zhao

    (Department of Ecology and Environment Research, Beijing Tsinghua Holdings Human Settlements Environment Institute, Beijing 100083, China)

  • Sijie Lin

    (School of Environment, Tsinghua University, Beijing 100084, China
    Beijing Huanding Environmental Big Data Institute, Beijing 100083, China)

  • Yi Liu

    (School of Environment, Tsinghua University, Beijing 100084, China)

Abstract

Due to rapid, sprawling urban and industrial development, urbanization in China has led to serious environmental pollution with subsequent risks to human well-being. Landscapes comprised of intermingled residential and industrial areas are common across China, which is a large challenge for effective urban planning and environmental protection. Being able to identify industrial land across the urban landscape is critical for understanding patterns of urban design and subsequent consequences for the environment. Here, we describe a method to quickly identify industrial parcels using points of interest (POIs) and large-scale spatial data. We used the Beijing–Tianjin–Hebei urban agglomeration as a case study and identified 8325 square kilometers of industrial land, accounting for 30.7% of the total built land. Based on ground-truth randomly-sampled sites, the accuracy, precision, and recall of identified industrial areas were 87.1%, 66.4%, and 68.1%, respectively. Furthermore, we found that over 350 km 2 of the industrial parcels were high human settlement risks and mainly were distributed in Tianjin and Tangshan city. Over 28.8% of the identified industrial land parcels might be at the risk of potential soil contamination. The results can be helpful in future urban planning and for identifying urban areas that are targets for implementing environmental risk management and remediation.

Suggested Citation

  • Zishu Wang & Jie Zhao & Sijie Lin & Yi Liu, 2019. "Identification of Industrial Land Parcels and Its Implications for Environmental Risk Management in the Beijing–Tianjin–Hebei Urban Agglomeration," Sustainability, MDPI, vol. 12(1), pages 1-14, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2019:i:1:p:174-:d:301606
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/1/174/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/1/174/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Qing & Tapia Granados, José A., 2019. "Economic growth and mental health in 21st century China," Social Science & Medicine, Elsevier, vol. 220(C), pages 387-395.
    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. Song, Malin & Peng, Jun & Wang, Jianlin & Zhao, Jiajia, 2018. "Environmental efficiency and economic growth of China: A Ray slack-based model analysis," European Journal of Operational Research, Elsevier, vol. 269(1), pages 51-63.
    4. Wu, Qiyan & Zhang, Xiaoling & Liu, Chunhui & Chen, Zhou, 2018. "The de-industrialization, re-suburbanization and health risks of brownfield land reuse: Case study of a toxic soil event in Changzhou, China," Land Use Policy, Elsevier, vol. 74(C), pages 187-194.
    5. Lang, Wei & Long, Ying & Chen, Tingting, 2018. "Rediscovering Chinese cities through the lens of land-use patterns," Land Use Policy, Elsevier, vol. 79(C), pages 362-374.
    6. Tong Wang & Jan Kazak & Qi Han & Bauke de Vries, 2019. "A framework for path-dependent industrial land transition analysis using vector data," European Planning Studies, Taylor & Francis Journals, vol. 27(7), pages 1391-1412, July.
    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 & Xiaolin Hou & Yanmei Xie, 2023. "Exploring Relationships between Spatial Pattern Change in Steel Plants and Land Cover Change in Tangshan City," Sustainability, MDPI, vol. 15(12), pages 1-24, June.

    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. Hongwei Liu & Ronglu Yang & Zhixiang Zhou & Dacheng Huang, 2020. "Regional Green Eco-Efficiency in China: Considering Energy Saving, Pollution Treatment, and External Environmental Heterogeneity," Sustainability, MDPI, vol. 12(17), pages 1-19, August.
    2. Salman, Muhammad & Long, Xingle & Wang, Guimei & Zha, Donglan, 2022. "Paris climate agreement and global environmental efficiency: New evidence from fuzzy regression discontinuity design," Energy Policy, Elsevier, vol. 168(C).
    3. Xinyao Li & Lingzhi Wang & Bryan Pijanowski & Lingpeng Pan & Hichem Omrani & Anqi Liang & Yi Qu, 2022. "The Spatio-Temporal Pattern and Transition Mode of Recessive Cultivated Land Use Morphology in the Huaibei Region of the Jiangsu Province," Land, MDPI, vol. 11(11), pages 1-16, November.
    4. Xiangqian Wang & Shudong Wang & Yongqiu Xia, 2022. "Evaluation and Dynamic Evolution of the Total Factor Environmental Efficiency in China’s Mining Industry," Energies, MDPI, vol. 15(3), pages 1-19, February.
    5. Naeem, Muhammad Abubakr & Appiah, Michael & Karim, Sitara & Yarovaya, Larisa, 2023. "What abates environmental efficiency in African economies? Exploring the influence of infrastructure, industrialization, and innovation," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    6. Xiwen Fu & Shuxin Wang, 2022. "How to Promote Low-Carbon Cities with Blockchain Technology? A Blockchain-Based Low-Carbon Development Model for Chinese Cities," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    7. Yao Hu & Tai-Hua Yan & Feng-Wen Chen, 2020. "Energy and Environment Performance of Resource-Based Cities in China: A Non-Parametric Approach for Estimating Hyperbolic Distance Function," IJERPH, MDPI, vol. 17(13), pages 1-23, July.
    8. Ligang Lyu & Zhoubing Gao & Hualou Long & Xiaorui Wang & Yeting Fan, 2021. "Farmland Use Transition in a Typical Farming Area: The Case of Sihong County in the Huang-Huai-Hai Plain of China," Land, MDPI, vol. 10(4), pages 1-16, March.
    9. Aleksandra Besser & Jan K. Kazak & Małgorzata Świąder & Szymon Szewrański, 2019. "A Customized Decision Support System for Renewable Energy Application by Housing Association," Sustainability, MDPI, vol. 11(16), pages 1-16, August.
    10. Guanchun Liu & Chien-Chiang Lee & Yuanyuan Liu, 2020. "Growth path heterogeneity across provincial economies in China: the role of geography versus institutions," Empirical Economics, Springer, vol. 59(2), pages 503-546, August.
    11. Khoshroo, Alireza & Izadikhah, Mohammad & Emrouznejad, Ali, 2022. "Total factor energy productivity considering undesirable pollutant outputs: A new double frontier based malmquist productivity index," Energy, Elsevier, vol. 258(C).
    12. Feng, Chao & Huang, Jian-Bai & Wang, Miao, 2019. "The sustainability of China’s metal industries: features, challenges and future focuses," Resources Policy, Elsevier, vol. 60(C), pages 215-224.
    13. Huang, Hongyun & Wang, Fengrong & Song, Malin & Balezentis, Tomas & Streimikiene, Dalia, 2021. "Green innovations for sustainable development of China: Analysis based on the nested spatial panel models," Technology in Society, Elsevier, vol. 65(C).
    14. Meng, Ming & Qu, Danlei, 2022. "Understanding the green energy efficiencies of provinces in China: A Super-SBM and GML analysis," Energy, Elsevier, vol. 239(PA).
    15. Kai Li & Zhili Ma & Jinjin Liu, 2019. "A New Trend in the Space–Time Distribution of Cultivated Land Occupation for Construction in China and the Impact of Population Urbanization," Sustainability, MDPI, vol. 11(18), pages 1-23, September.
    16. Li, Li, 2023. "Commodity prices volatility and economic growth: Empirical evidence from natural resources industries of China," Resources Policy, Elsevier, vol. 80(C).
    17. Gang Lin & Dong Jiang & Jingying Fu & Chenglong Cao & Dongwei Zhang, 2020. "Spatial Conflict of Production–Living–Ecological Space and Sustainable-Development Scenario Simulation in Yangtze River Delta Agglomerations," Sustainability, MDPI, vol. 12(6), pages 1-11, March.
    18. Jianqing Zhang & Song Wang & Peilei Yang & Fei Fan & Xueli Wang, 2020. "Analysis of Scale Factors on China’s Sustainable Development Efficiency Based on Three-Stage DEA and a Double Threshold Test," Sustainability, MDPI, vol. 12(6), pages 1-26, March.
    19. Zhanzhong Tang & Zengxiang Zhang & Lijun Zuo & Xiao Wang & Xiaoli Zhao & Fang Liu & Shunguang Hu & Ling Yi & Jinyong Xu, 2021. "Spatial Evolution of Urban Expansion in the Beijing–Tianjin–Hebei Coordinated Development Region," Sustainability, MDPI, vol. 13(3), pages 1-23, February.
    20. Liu, Dongya & Zheng, Xinqi & Wang, Hongbin, 2020. "Land-use Simulation and Decision-Support system (LandSDS): Seamlessly integrating system dynamics, agent-based model, and cellular automata," Ecological Modelling, Elsevier, vol. 417(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:jsusta:v:12:y:2019:i:1:p:174-:d:301606. 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.