IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i2p654-d478741.html
   My bibliography  Save this article

A Chatbot System to Support Mine Safety Procedures during Natural Disasters

Author

Listed:
  • Meng-Han Tsai

    (Department of Civil and Construction Engineering, National Taiwan University of Science and Technology, Taipei City 106335, Taiwan
    Current address: No.43, Keelung Rd., Sec.4, Da’an Dist., Taipei City 106335, Taiwan.)

  • Hao-Yung Chan

    (Department of Civil and Construction Engineering, National Taiwan University of Science and Technology, Taipei City 106335, Taiwan
    These authors contributed equally to this work.)

  • Yi-Lin Chan

    (Department of Civil and Construction Engineering, National Taiwan University of Science and Technology, Taipei City 106335, Taiwan
    These authors contributed equally to this work.)

  • Heng-Kuang Shen

    (Bureau of Mines, Ministry of Economic Affairs, Executive Yuan, Taipei City 10042, Taiwan)

  • Pei-Yi Lin

    (Bureau of Mines, Ministry of Economic Affairs, Executive Yuan, Taipei City 10042, Taiwan)

  • Ching-Wen Hsu

    (Bureau of Mines, Ministry of Economic Affairs, Executive Yuan, Taipei City 10042, Taiwan)

Abstract

This study developed a chatbot to improve the efficiency of government activation of mine safety procedures during natural disasters. Taiwan has a comprehensive governmental system dedicated to responding to frequent natural disasters, and the Bureau of Mines has instituted clear procedures to ensure the delivery of disaster alarms and damage reports. However, the labor- and time-consumption procedures are inefficient. In this study, we propose a system framework for disaster-related information retrieval and immediate notifications to support the execution of mine safety procedures. The framework utilizes instant messaging (IM) applications as the user interface to look up information and send messages to announce the occurrence of disaster events. We evaluated the efficiency of the procedures before and after adopting the system and achieved a time-cost reduction of 55.8 min among three types of disaster events. The study has proven the feasibility of adopting novel techniques for decision-making and assures the improvement of the efficiency and effectiveness of the procedure activation.

Suggested Citation

  • Meng-Han Tsai & Hao-Yung Chan & Yi-Lin Chan & Heng-Kuang Shen & Pei-Yi Lin & Ching-Wen Hsu, 2021. "A Chatbot System to Support Mine Safety Procedures during Natural Disasters," Sustainability, MDPI, vol. 13(2), pages 1-19, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:654-:d:478741
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/2/654/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/2/654/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gabriel Ovando-Leon & Luis Veas-Castillo & Veronica Gil-Costa & Mauricio Marin, 2022. "Bot-Based Emergency Software Applications for Natural Disaster Situations," Future Internet, MDPI, vol. 14(3), pages 1-22, March.
    2. Meennapa Rukhiran & Napasorn Phaokla & Paniti Netinant, 2022. "Adoption of Environmental Information Chatbot Services Based on the Internet of Educational Things in Smart Schools: Structural Equation Modeling Approach," Sustainability, MDPI, vol. 14(23), pages 1-32, November.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:13:y:2021:i:2:p:654-:d:478741. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.