IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i9p2606-d228695.html
   My bibliography  Save this article

A Systems Analysis Approach to Identifying Critical Success Factors in Drinking Water Source Protection Programs

Author

Listed:
  • Hew Cameron Merrett

    (Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan)

  • Wei Tong Chen

    (Department of Civil and Construction Engineering, Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan)

  • Jao Jia Horng

    (Graduate School of Environmental, Health and Safety Engineering, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan)

Abstract

The success of source protection in ensuring safe drinking water is centered around being able to understand the hazards present in the catchment then plan and implement control measures to manage water quality risk to levels which can be controlled through downstream barriers. The programs in place to manage source protection are complex sociotechnical systems involving policy, standards, regulators, technology, human factors and so on. This study uses System Theoretic Process Analysis (STPA) to analyze the operational hazards of a typical drinking water source protection (DWSP) program and identify countermeasures to ensure safe operations. To validate the STPA results a questionnaire was developed based on selective grouping of the initial countermeasures identified and distributed to specialists in DWSP in Taiwan, Australia and Greece. Through statistical analysis using Principle Components Analysis (PCA), the study identified four critical success factors (CSFs) for DWSP based on the questionnaire responses. The four CSFs identified were “Policy and Government Agency Support of Source Protection”, “Catchment Risk Monitoring and Information”, “Support of Operational Field Activities” and “Response to Water Quality Threats”. The results of this study provide insight into the approach of grouping of source protection measures to identify a series of targeted CSF for operational source protection programs. Using CSF can aid catchment management agencies in ensuring that the risk level in the catchment is managed effectively and that threats to public health from drinking water are managed appropriately.

Suggested Citation

  • Hew Cameron Merrett & Wei Tong Chen & Jao Jia Horng, 2019. "A Systems Analysis Approach to Identifying Critical Success Factors in Drinking Water Source Protection Programs," Sustainability, MDPI, vol. 11(9), pages 1-23, May.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:9:p:2606-:d:228695
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/9/2606/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/9/2606/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Leveson, Nancy, 2015. "A systems approach to risk management through leading safety indicators," Reliability Engineering and System Safety, Elsevier, vol. 136(C), pages 17-34.
    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. Hew Cameron Merrett & Wei Tong Chen & Jao Jia Horng, 2020. "A Structural Equation Model of Success in Drinking Water Source Protection Programs," Sustainability, MDPI, vol. 12(4), pages 1-17, February.

    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. Khastgir, Siddartha & Brewerton, Simon & Thomas, John & Jennings, Paul, 2021. "Systems Approach to Creating Test Scenarios for Automated Driving Systems," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    2. Wang, Wenhao & Wang, Yanhui & Wang, Guangxing & Li, Man & Jia, Limin, 2023. "Identification of the critical accident causative factors in the urban rail transit system by complex network theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 610(C).
    3. Antonovsky, A. & Pollock, C. & Straker, L., 2016. "System reliability as perceived by maintenance personnel on petroleum production facilities," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 58-65.
    4. Faiella, Giuliana & Parand, Anam & Franklin, Bryony Dean & Chana, Prem & Cesarelli, Mario & Stanton, Neville A. & Sevdalis, Nick, 2018. "Expanding healthcare failure mode and effect analysis: A composite proactive risk analysis approach," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 117-126.
    5. Berner, Christine Louise & Flage, Roger, 2017. "Creating risk management strategies based on uncertain assumptions and aspects from assumption-based planning," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 10-19.
    6. Ahmad Dehghan Nejad & Amirhosein Bahramzadeh, 2021. "The competency of organizational safety control structure; a framework for evaluation," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(6), pages 1180-1198, December.
    7. Jintao Liu & Keping Li & Wei Zheng & Jiebei Zhu, 2019. "An importance order analysis method for causes of railway signaling system hazards based on complex networks," Journal of Risk and Reliability, , vol. 233(4), pages 567-579, August.
    8. Wu, Chao & Huang, Lang, 2019. "A new accident causation model based on information flow and its application in Tianjin Port fire and explosion accident," Reliability Engineering and System Safety, Elsevier, vol. 182(C), pages 73-85.
    9. Read, G.J.M. & Naweed, A. & Salmon, P.M., 2019. "Complexity on the rails: A systems-based approach to understanding safety management in rail transport," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 352-365.
    10. Thieme, Christoph A. & Utne, Ingrid B., 2017. "Safety performance monitoring of autonomous marine systems," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 264-275.
    11. Jiawen Tang & Di Wang & Wei Ye & Bing Dong & Huijuan Yang, 2022. "Safety Risk Assessment of Air Traffic Control System Based on the Game Theory and the Cloud Matter Element Analysis," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    12. Lam, C.Y. & Tai, K., 2020. "Network topological approach to modeling accident causations and characteristics: Analysis of railway incidents in Japan," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    13. Bjerga, Torbjørn & Aven, Terje & Zio, Enrico, 2016. "Uncertainty treatment in risk analysis of complex systems: The cases of STAMP and FRAM," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 203-209.
    14. Anastasios Plioutsias & Nektarios Karanikas & Maria Mikela Chatzimihailidou, 2018. "Hazard Analysis and Safety Requirements for Small Drone Operations: To What Extent Do Popular Drones Embed Safety?," Risk Analysis, John Wiley & Sons, vol. 38(3), pages 562-584, March.
    15. Ping Chen & Gui Fu & Yi Wang & Han Meng & Mingkai Lv, 2023. "Accident causation models: A comparison of SCM and 24Model," Journal of Risk and Reliability, , vol. 237(4), pages 810-822, August.
    16. Mahdieh Delikhoon & Esmaeil Zarei & Osiris Valdez Banda & Mohammad Faridan & Ehsanollah Habibi, 2022. "Systems Thinking Accident Analysis Models: A Systematic Review for Sustainable Safety Management," Sustainability, MDPI, vol. 14(10), pages 1-28, May.
    17. Kim, Tae-eun & Gausdal, Anne Haugen, 2017. "Leading for safety: A weighted safety leadership model in shipping," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 458-466.
    18. Simsekler, Mecit Can Emre & Qazi, Abroon & Alalami, Mohammad Amjad & Ellahham, Samer & Ozonoff, Al, 2020. "Evaluation of patient safety culture using a random forest algorithm," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    19. Santos, Paula Luisa Costa Teixeira & Monteiro, Paulo Adelino Antunes & Studic, Milena & Majumdar, Arnab, 2017. "A methodology used for the development of an Air Traffic Management functional system architecture," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 445-457.
    20. Meng, Xiangkun & Li, Xinhong & Wang, Weigang & Song, Guozheng & Chen, Guoming & Zhu, Jingyu, 2021. "A novel methodology to analyze accident path in deepwater drilling operation considering uncertain information," Reliability Engineering and System Safety, Elsevier, vol. 205(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:11:y:2019:i:9:p:2606-:d:228695. 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.