IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i22p15442-d979101.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/22/15442/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/22/15442/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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).
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    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. 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.

    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. Dingde Xu & Chen Qing & Xin Deng & Zhuolin Yong & Wenfeng Zhou & Zhixing Ma, 2020. "Disaster Risk Perception, Sense of Pace, Evacuation Willingness, and Relocation Willingness of Rural Households in Earthquake-Stricken Areas: Evidence from Sichuan Province, China," IJERPH, MDPI, vol. 17(2), pages 1-19, January.
    2. Ting Que & Yuxin Wu & Shiyu Hu & Jianmin Cai & Nan Jiang & Huige Xing, 2022. "Factors Influencing Public Participation in Community Disaster Mitigation Activities: A Comparison of Model and Nonmodel Disaster Mitigation Communities," IJERPH, MDPI, vol. 19(19), pages 1-18, September.
    3. Ong, Ardvin Kester S. & Kurata, Yoshiki B. & Castro, Sophia Alessandra D.G. & De Leon, Jeanne Paulene B. & Dela Rosa, Hazel V. & Tomines, Alex Patricia J., 2022. "Factors influencing the acceptance of telemedicine in the Philippines," Technology in Society, Elsevier, vol. 70(C).
    4. Ziyi Wang & Ziqiang Han & Lin Liu & Shaobin Yu, 2021. "Place Attachment and Household Disaster Preparedness: Examining the Mediation Role of Self-Efficacy," IJERPH, MDPI, vol. 18(11), pages 1-13, May.
    5. Delin Liu & Xiaole Chang & Siyu Wu & Yongling Zhang & Nana Kong & Xiaobing Zhang, 2024. "Influencing Factors of Urban Public Flood Emergency Evacuation Decision Behavior Based on Protection Motivation Theory: An Example from Jiaozuo City, China," Sustainability, MDPI, vol. 16(13), pages 1-15, June.
    6. Melese Mulu Baylie & Csaba Fogarassy, 2022. "Decision Analysis of the Adaptation of Households to Extreme Floods Using an Extended Protection Motivation Framework—A Case Study from Ethiopia," Land, MDPI, vol. 11(10), pages 1-20, October.
    7. Arfi, Wissal Ben & Nasr, Imed Ben & Kondrateva, Galina & Hikkerova, Lubica, 2021. "The role of trust in intention to use the IoT in eHealth: Application of the modified UTAUT in a consumer context," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    8. Floris C. Boogaard & Guri Venvik & Rui L. Pedroso de Lima & Ana C. Cassanti & Allard H. Roest & Antal Zuurman, 2020. "ClimateCafé: An Interdisciplinary Educational Tool for Sustainable Climate Adaptation and Lessons Learned," Sustainability, MDPI, vol. 12(9), pages 1-19, May.
    9. Ardvin Kester S. Ong & Jelline C. Cuales & Jose Pablo F. Custodio & Eisley Yuanne J. Gumasing & Paula Norlene A. Pascual & Ma. Janice J. Gumasing, 2023. "Investigating Preceding Determinants Affecting Primary School Students Online Learning Experience Utilizing Deep Learning Neural Network," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    10. Paul Hudson & W. J. Wouter Botzen & Jennifer Poussin & Jeroen C. J. H. Aerts, 2019. "Impacts of Flooding and Flood Preparedness on Subjective Well-Being: A Monetisation of the Tangible and Intangible Impacts," Journal of Happiness Studies, Springer, vol. 20(2), pages 665-682, February.
    11. Zhixing Ma & Shili Guo & Xin Deng & Dingde Xu, 2021. "Community resilience and resident's disaster preparedness: evidence from China's earthquake-stricken areas," 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. 108(1), pages 567-591, August.
    12. Zhenlong Jiang & Yudi Chen & Ting-Yeh Yang & Wenying Ji & Zhijie (Sasha) Dong & Ran Ji, 2023. "Leveraging Machine Learning and Simulation to Advance Disaster Preparedness Assessments through FEMA National Household Survey Data," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    13. Su-Chen(Cecilia) Lin & Mei-Chen Chuang & Chen-Yuan Huang & Chia-En Liu, 2023. "Nursing Staff’s Behavior Intention to Use Mobile Technology: An Exploratory Study Employing the UTAUT 2 Model," SAGE Open, , vol. 13(4), pages 21582440231, November.
    14. Masahiro Shoji & Yoko Takafuji & Tetsuya Harada, 2020. "Formal education and disaster response of children: evidence from coastal villages in Indonesia," 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 2183-2205, September.
    15. Shine George & P. P. Anil Kumar, 2022. "Indicator-based assessment of capacity development for disaster preparedness in the Indian context," Environment Systems and Decisions, Springer, vol. 42(3), pages 417-435, September.
    16. Dingde Xu & Zhuolin Yong & Xin Deng & Yi Liu & Kai Huang & Wenfeng Zhou & Zhixing Ma, 2019. "Financial Preparation, Disaster Experience, and Disaster Risk Perception of Rural Households in Earthquake-Stricken Areas: Evidence From the Wenchuan and Lushan Earthquakes in China’s Sichuan Province," IJERPH, MDPI, vol. 16(18), pages 1-17, September.
    17. Yongjoo Kim & Dongin Park & Soobin Kim & Dongho Rie, 2023. "A Study on the Quantitative Fire Performance Evaluation Method of Building Finishing Materials with a Focus on Medical Facilities," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    18. Xue Yang & Shili Guo & Xin Deng & Dingde Xu, 2021. "Livelihood Adaptation of Rural Households under Livelihood Stress: Evidence from Sichuan Province, China," Agriculture, MDPI, vol. 11(6), pages 1-19, May.
    19. Alam, Mohammad Zahedul & Hu, Wang & Kaium, Md Abdul & Hoque, Md Rakibul & Alam, Mirza Mohammad Didarul, 2020. "Understanding the determinants of mHealth apps adoption in Bangladesh: A SEM-Neural network approach," Technology in Society, Elsevier, vol. 61(C).
    20. Veruska Muccione & Thomas Lontzek & Christian Huggel & Philipp Ott & Nadine Salzmann, 2023. "An application of dynamic programming to local adaptation decision-making," 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. 119(1), pages 523-544, October.

    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:14:y:2022:i:22:p:15442-:d:979101. 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.