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Predicting Factors Affecting the Intention to Prepare for Mitigation of Man-Made Fire Disasters in Chonburi Province, Thailand: An Integration of Structural Equation Modeling and Artificial Neural Network Hybrid Approach

Author

Listed:
  • Poonyawat Kusonwattana

    (School of Industrial Engineering and Engineering Management, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, Philippines
    School of Graduate Studies, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, Philippines)

  • Ardvin Kester S. Ong

    (School of Industrial Engineering and Engineering Management, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, Philippines)

  • Yogi Tri Prasetyo

    (School of Industrial Engineering and Engineering Management, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, Philippines
    International Program in Engineering for Bachelor, Yuan Ze University, 135 Yuan-Tung Road, Chung-Li 32003, Taiwan
    Department of Industrial Engineering and Management, Yuan Ze University, 135 Yuan-Tung Road, Chung-Li 32003, Taiwan)

  • Klint Allen Mariñas

    (School of Industrial Engineering and Engineering Management, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, Philippines
    Department of Industrial and Systems Engineering, Chung Yuan Christian University, Taoyuan 320, Taiwan)

  • Nattakit Yuduang

    (School of Industrial Engineering and Engineering Management, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, Philippines
    School of Graduate Studies, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, Philippines)

  • Thanatorn Chuenyindee

    (Department of Industrial Engineering and Aviation Management, Navaminda Kasatriyadhiraj Royal Air Force Academy, Bangkok 10220, Thailand)

  • Kriengkrai Thana

    (Department of Industrial Engineering and Aviation Management, Navaminda Kasatriyadhiraj Royal Air Force Academy, Bangkok 10220, Thailand)

  • Satria Fadil Persada

    (Entrepreneurship Department, Binus Business School Undergraduate Program, Bina Nusantra University, Jakarta 11480, Indonesia)

  • Reny Nadlifatin

    (Department of Information System, Institut Teknologi Sepuluh Nopember (ITS), Surabaya 60111, Indonesia)

  • Kirstien Paola E. Robas

    (School of Industrial Engineering and Engineering Management, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, Philippines)

Abstract

News regarding different man-made fire disasters has been increasing for the past few years, especially in Thailand. Despite the prominent fire in Chonburi Province, Thailand, the intention to prepare has been widely underexplored. This study aimed to predict factors affecting the intention to prepare for the mitigation of man-made fire disasters in Chonburi Province, Thailand. A total of 366 valid responses through convenience sampling were utilized in this study that produced 20,496 datasets. With the 20,496 datasets, structural equation modeling and artificial neural network hybrid were utilized to analyze several factors under the extended and integrated protection motivation theory and the theory of planned behavior. Factors such as geographic perspective, fire perspective, government response, perceived severity, response cost, perceived vulnerability, perceived behavioral control, subjective norm, and attitude were evaluated simultaneously to measure the intention to prepare for a fire disaster. The results showed that geographic perspective, subjective norm, and fire experience were the most important factors affecting the intention to prepare. Other factors were significant with perceived behavioral control as the least important. In addition, the results showed how the region is prone to man-made fire disasters and that the government should consider mitigation plans to highlight the safety of the people in Chonburi Province, Thailand. This study is considered the first complete study that analyzed behavioral intention to prepare for the mitigation of man-made fire disasters in the Chonburi Province region of Thailand. The results of this study could be utilized by the government as a foundation to create mitigation plans for the citizens of Thailand. Finally, the findings of this study may be applied and extended to measure the intention to prepare for other man-made fire disasters worldwide.

Suggested Citation

  • Poonyawat Kusonwattana & Ardvin Kester S. Ong & Yogi Tri Prasetyo & Klint Allen Mariñas & Nattakit Yuduang & Thanatorn Chuenyindee & Kriengkrai Thana & Satria Fadil Persada & Reny Nadlifatin & Kirstie, 2022. "Predicting Factors Affecting the Intention to Prepare for Mitigation of Man-Made Fire Disasters in Chonburi Province, Thailand: An Integration of Structural Equation Modeling and Artificial Neural Net," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:15442-:d:979101
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    References listed on IDEAS

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    1. S. A. Mashi & A. I. Inkani & Oghenejeabor Obaro & A. S. Asanarimam, 2020. "Community perception, response and adaptation strategies towards flood risk in a traditional African city," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(2), pages 1727-1759, September.
    2. Jing-Shia Tang & Jui-Ying Feng, 2018. "Residents’ Disaster Preparedness after the Meinong Taiwan Earthquake: A Test of Protection Motivation Theory," IJERPH, MDPI, vol. 15(7), pages 1-12, July.
    3. Ardvin Kester S. Ong & Yogi Tri Prasetyo & Nattakit Yuduang & Reny Nadlifatin & Satria Fadil Persada & Kirstien Paola E. Robas & Thanatorn Chuenyindee & Thapanat Buaphiban, 2022. "Utilization of Random Forest Classifier and Artificial Neural Network for Predicting Factors Influencing the Perceived Usability of COVID-19 Contact Tracing “MorChana” in Thailand," IJERPH, MDPI, vol. 19(13), pages 1-28, June.
    4. Chansol Ahn & Hyeongwoo Kim & Insu Choi & Dongho Rie, 2022. "A Study on the Safety Evaluation of Escape Routes for Vulnerable Populations in Residential Facilities," Sustainability, MDPI, vol. 14(10), pages 1-19, May.
    5. Hoffmann, Roman & Muttarak, Raya, 2017. "Learn from the Past, Prepare for the Future: Impacts of Education and Experience on Disaster Preparedness in the Philippines and Thailand," World Development, Elsevier, vol. 96(C), pages 32-51.
    6. Yajing Shen & Shiyan Lou & Xiujuan Zhao & Kuai Peng Ip & Hui Xu & Jingwen Zhang, 2020. "Factors Impacting Risk Perception under Typhoon Disaster in Macao SAR, China," IJERPH, MDPI, vol. 17(20), pages 1-24, October.
    7. Chuenyindee, Thanatorn & Ong, Ardvin Kester S. & Ramos, Jon Pauline & Prasetyo, Yogi Tri & Nadlifatin, Reny & Kurata, Yoshiki B. & Sittiwatethanasiri, Thaninrat, 2022. "Public utility vehicle service quality and customer satisfaction in the Philippines during the COVID-19 pandemic," Utilities Policy, Elsevier, vol. 75(C).
    8. Duarte, Paulo & Pinho, José Carlos, 2019. "A mixed methods UTAUT2-based approach to assess mobile health adoption," Journal of Business Research, Elsevier, vol. 102(C), pages 140-150.
    9. R. Mechler, 2016. "Reviewing estimates of the economic efficiency of disaster risk management: opportunities and limitations of using risk-based cost–benefit analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 2121-2147, April.
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    Cited by:

    1. Ma. Janice J. Gumasing & Ma. Daniella M. Sobrevilla, 2023. "Determining Factors Affecting the Protective Behavior of Filipinos in Urban Areas for Natural Calamities Using an Integration of Protection Motivation Theory, Theory of Planned Behavior, and Ergonomic," Sustainability, MDPI, vol. 15(8), pages 1-31, April.

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