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

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 prepa...

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Veröffentlicht in:	Sustainability 2022-11, Vol.14 (22), p.15442
Hauptverfasser:	Kusonwattana, Poonyawat, Ong, Ardvin Kester S, Prasetyo, Yogi Tri, Mariñas, Klint Allen, Yuduang, Nattakit, Chuenyindee, Thanatorn, Thana, Kriengkrai, Persada, Satria Fadil, Nadlifatin, Reny, Robas, Kirstien Paola E
Format:	Artikel
Sprache:	eng
Schlagworte:	Behavior Datasets Disasters Earthquakes Economic development Emergency management Emergency preparedness Fire hazards Mitigation Modelling Motivation Multivariate statistical analysis Neural networks Psychological research Structural equation modeling Sustainability Variables Wildfires
Online-Zugang:	Volltext
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