IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i13p10067-d1179161.html
   My bibliography  Save this article

A Narrative of Urban Underground Pipeline System Disasters in China in 2021: Spatial and Temporal Distribution, Causal Analysis, and Response Strategies

Author

Listed:
  • Zhiqiang Xie

    (School of Earth Sciences, Yunnan University, Kunming 650500, China)

  • Fengshan Jiang

    (School of Earth Sciences, Yunnan University, Kunming 650500, China)

  • Jiarui Xu

    (International Institute of Rivers and Ecological Security, Yunnan University, Kunming 650500, China)

  • Zhengang Zhai

    (Beijing New Technology Research Center, Beijing 100013, China)

  • Jianglong He

    (Kunming Institute of Surveying and Mapping, Kunming 650051, China)

  • Daoyang Zheng

    (School of Earth Sciences, Yunnan University, Kunming 650500, China)

  • Junyu Lian

    (School of Earth Sciences, Yunnan University, Kunming 650500, China)

  • Zhiqun Hou

    (Kunming Institute of Surveying and Mapping, Kunming 650051, China)

  • Lei Zhao

    (Kunming Surveying and Mapping Management Center, Kunming 650500, China)

  • Yanxia Wang

    (Beijing Academy of Science and Technology, Beijing 100744, China)

  • Yuyun Feng

    (School of Earth Sciences, Yunnan University, Kunming 650500, China)

Abstract

In recent years, there have been frequent disasters and accidents in the underground pipeline system of Chinese cities, posing a continuous threat to the safety of life and property of the public and the order of urban operations. This article uses statistical data on the spatiotemporal distribution of major underground pipeline disasters in various provinces of China in 2021. By using Pearson’s correlation coefficient and regression analysis, a causal analysis model for urban underground pipeline accidents is constructed, and the correlation between urban underground pipeline accident rate and economic and social indicators is analyzed. From the analysis, it has been found that the correlation coefficients of gross domestic product (GDP) per capita, the pipeline density in the built-up area, and the urban pipeline accident rate reach −0.4019 and −0.4275, respectively, showing a negative correlation. Further, the regression analysis results show that the underground pipeline accident rate shows a decreasing trend as the per capita GDP and the density of pipelines in the built-up areas increase. Among them, the results of the power function fitting model show that the GDP per capita accounts for 48.10% of the urban underground pipeline accidents, whereas the pipeline density of the built-up area accounts for 58.27% of these accidents. The construction of underground pipeline regulations is influential in reducing underground pipeline disaster accidents. In this study, the role and effectiveness of the factors, such as the construction of professional regulations in maintaining the safe operation of urban underground pipelines, has been discussed, and suggestions and methods to improve the problems that need to be solved, such as the construction of a municipal supporting emergency management system in the safe operation of underground pipelines in the future, have been proposed.

Suggested Citation

  • Zhiqiang Xie & Fengshan Jiang & Jiarui Xu & Zhengang Zhai & Jianglong He & Daoyang Zheng & Junyu Lian & Zhiqun Hou & Lei Zhao & Yanxia Wang & Yuyun Feng, 2023. "A Narrative of Urban Underground Pipeline System Disasters in China in 2021: Spatial and Temporal Distribution, Causal Analysis, and Response Strategies," Sustainability, MDPI, vol. 15(13), pages 1-23, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10067-:d:1179161
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/13/10067/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/13/10067/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Siler-Evans, Kyle & Hanson, Alex & Sunday, Cecily & Leonard, Nathan & Tumminello, Michele, 2014. "Analysis of pipeline accidents in the United States from 1968 to 2009," International Journal of Critical Infrastructure Protection, Elsevier, vol. 7(4), pages 257-269.
    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. Xiuyu Wu & Pengkai Sun, 2024. "Dynamic Analysis and Temporal Governance of Safety Risks: Evidence from Underground Construction Accident Reports," Sustainability, MDPI, vol. 16(19), pages 1-25, September.

    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. Shengli, Liu & Yongtu, Liang, 2019. "Exploring the temporal structure of time series data for hazardous liquid pipeline incidents based on complex network theory," International Journal of Critical Infrastructure Protection, Elsevier, vol. 26(C).
    2. Liu, Shengli & Liang, Yongtu, 2021. "Statistics of catastrophic hazardous liquid pipeline accidents," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    3. Richard A. Schultz & Douglas W. Hubbard & David J. Evans & Sam L. Savage, 2020. "Characterization of Historical Methane Occurrence Frequencies from U.S. Underground Natural Gas Storage Facilities with Implications for Risk Management, Operations, and Regulatory Policy," Risk Analysis, John Wiley & Sons, vol. 40(3), pages 588-607, March.
    4. Jihong Ye & Yiyang Fang & Xinxiang Yang, 2022. "Vulnerability Analysis of Harbor Oil Pipeline Affected by Typhoon," Energies, MDPI, vol. 15(18), pages 1-17, September.
    5. Berke Ogulcan Parlak & Huseyin Ayhan Yavasoglu, 2023. "A Comprehensive Analysis of In-Line Inspection Tools and Technologies for Steel Oil and Gas Pipelines," Sustainability, MDPI, vol. 15(3), pages 1-25, February.

    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:15:y:2023:i:13:p:10067-:d:1179161. 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.