Exploring the science of evacuation behavior and decision-making during large scale community evacuations: A scientometrics analysis and scoping review.
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| Title: | Exploring the science of evacuation behavior and decision-making during large scale community evacuations: A scientometrics analysis and scoping review. |
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| Authors: | Kannangara, Chamika1,2 (AUTHOR) s3957718@student.rmit.edu.au, Kuligowski, Erica1 (AUTHOR) erica.kuligowski@rmit.edu.au, Siriwardana, Chandana1,3 (AUTHOR) C.Siriwardana@massey.ac.nz, Zhang, Guomin1 (AUTHOR) kevin.zhang@rmit.edu.au, Adikariwattage, Varuna2 (AUTHOR) varunaa@uom.lk, Jayawardane, Paboda2 (AUTHOR) jayawardanejmpm.19@uom.lk |
| Source: | Safety Science. Mar2026, Vol. 195, pN.PAG-N.PAG. 1p. |
| Subjects: | Civilian evacuation, Decision making, Emergency management, Scientometrics, Statistical decision making, Interdisciplinary education |
| Abstract: | • Most evacuation studies focus on hurricanes; more research is needed to understand evacuation behavior in other disasters. • Interdisciplinary approaches needed to overcome the scarcity of behavioral data in evacuation research. • Stronger global collaborations required to reduce regional disparities in evacuation behavior studies. Understanding how people behave during large-scale community evacuations is important as it can reveal key decision-making gaps which can be addressed to improve emergency planning and to keep communities safer. This study examines the critical gaps in existing research on evacuation behavior and decision-making during disasters by holistically exploring the research domain of evacuation behavior. A total of 667 articles and their references were analyzed using scientometrics methods. This study employs a novel approach to the analysis called overlay networks in CiteSpace. The findings highlight gaps in our understanding of human behavior during the evacuation, such as the stay-or-go decision and travel-related behavior, including destination, mode, route, and return-entry choices, in the context of earthquakes, floods, tsunamis, volcanic hazards, and wildfires. Evacuations triggered by technological disasters are explicitly excluded from this review. It also emphasizes that tourist evacuations remain an underexplored area. Also, the current study reveals that established theories, such as the Protective Action Decision Model (PADM) and the Theory of Planned Behavior (TPB), remain underutilized in research on evacuation behavior during hazards like earthquakes, tsunamis, and volcanic eruptions. This research supports the findings of previous studies in emphasizing the need for interdisciplinary approaches to evacuation research. It also underscores the importance of integrating existing behavioral evidence into evacuation models, alongside efforts to collect additional data. Also, the study emphasizes the importance of strengthening research collaborations with scholars in Asia and Africa. This approach seeks to address the disparity in research conducted across different regions of the world. [ABSTRACT FROM AUTHOR] |
| Copyright of Safety Science is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 189938871 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Exploring the science of evacuation behavior and decision-making during large scale community evacuations: A scientometrics analysis and scoping review. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kannangara%2C+Chamika%22">Kannangara, Chamika</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> s3957718@student.rmit.edu.au</i><br /><searchLink fieldCode="AR" term="%22Kuligowski%2C+Erica%22">Kuligowski, Erica</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> erica.kuligowski@rmit.edu.au</i><br /><searchLink fieldCode="AR" term="%22Siriwardana%2C+Chandana%22">Siriwardana, Chandana</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<i> C.Siriwardana@massey.ac.nz</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Guomin%22">Zhang, Guomin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> kevin.zhang@rmit.edu.au</i><br /><searchLink fieldCode="AR" term="%22Adikariwattage%2C+Varuna%22">Adikariwattage, Varuna</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> varunaa@uom.lk</i><br /><searchLink fieldCode="AR" term="%22Jayawardane%2C+Paboda%22">Jayawardane, Paboda</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> jayawardanejmpm.19@uom.lk</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Safety+Science%22">Safety Science</searchLink>. Mar2026, Vol. 195, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Civilian+evacuation%22">Civilian evacuation</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Emergency+management%22">Emergency management</searchLink><br /><searchLink fieldCode="DE" term="%22Scientometrics%22">Scientometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+decision+making%22">Statistical decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Interdisciplinary+education%22">Interdisciplinary education</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: • Most evacuation studies focus on hurricanes; more research is needed to understand evacuation behavior in other disasters. • Interdisciplinary approaches needed to overcome the scarcity of behavioral data in evacuation research. • Stronger global collaborations required to reduce regional disparities in evacuation behavior studies. Understanding how people behave during large-scale community evacuations is important as it can reveal key decision-making gaps which can be addressed to improve emergency planning and to keep communities safer. This study examines the critical gaps in existing research on evacuation behavior and decision-making during disasters by holistically exploring the research domain of evacuation behavior. A total of 667 articles and their references were analyzed using scientometrics methods. This study employs a novel approach to the analysis called overlay networks in CiteSpace. The findings highlight gaps in our understanding of human behavior during the evacuation, such as the stay-or-go decision and travel-related behavior, including destination, mode, route, and return-entry choices, in the context of earthquakes, floods, tsunamis, volcanic hazards, and wildfires. Evacuations triggered by technological disasters are explicitly excluded from this review. It also emphasizes that tourist evacuations remain an underexplored area. Also, the current study reveals that established theories, such as the Protective Action Decision Model (PADM) and the Theory of Planned Behavior (TPB), remain underutilized in research on evacuation behavior during hazards like earthquakes, tsunamis, and volcanic eruptions. This research supports the findings of previous studies in emphasizing the need for interdisciplinary approaches to evacuation research. It also underscores the importance of integrating existing behavioral evidence into evacuation models, alongside efforts to collect additional data. Also, the study emphasizes the importance of strengthening research collaborations with scholars in Asia and Africa. This approach seeks to address the disparity in research conducted across different regions of the world. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Safety Science is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.ssci.2025.107065 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Civilian evacuation Type: general – SubjectFull: Decision making Type: general – SubjectFull: Emergency management Type: general – SubjectFull: Scientometrics Type: general – SubjectFull: Statistical decision making Type: general – SubjectFull: Interdisciplinary education Type: general Titles: – TitleFull: Exploring the science of evacuation behavior and decision-making during large scale community evacuations: A scientometrics analysis and scoping review. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kannangara, Chamika – PersonEntity: Name: NameFull: Kuligowski, Erica – PersonEntity: Name: NameFull: Siriwardana, Chandana – PersonEntity: Name: NameFull: Zhang, Guomin – PersonEntity: Name: NameFull: Adikariwattage, Varuna – PersonEntity: Name: NameFull: Jayawardane, Paboda IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 09257535 Numbering: – Type: volume Value: 195 Titles: – TitleFull: Safety Science Type: main |
| ResultId | 1 |
