Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/90654
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Logistics and Maritime Studies | en_US |
dc.creator | Huang, D | en_US |
dc.creator | Wang, S | en_US |
dc.creator | Liu, Z | en_US |
dc.date.accessioned | 2021-08-13T06:13:34Z | - |
dc.date.available | 2021-08-13T06:13:34Z | - |
dc.identifier.issn | 2212-4209 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/90654 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © 2021 Elsevier Ltd. All rights reserved. | en_US |
dc.rights | © 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. | en_US |
dc.rights | The following publication Huang, D., Wang, S., & Liu, Z. (2021). A systematic review of prediction methods for emergency management. International Journal of Disaster Risk Reduction, 62, 102412 is available at https://dx.doi.org/10.1016/j.ijdrr.2021.102412. | en_US |
dc.subject | Artificial intelligence | en_US |
dc.subject | Disaster | en_US |
dc.subject | Emergency management system | en_US |
dc.subject | Prediction methods | en_US |
dc.subject | Resource demand | en_US |
dc.subject | Review | en_US |
dc.title | A systematic review of prediction methods for emergency management | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 62 | en_US |
dc.identifier.doi | 10.1016/j.ijdrr.2021.102412 | en_US |
dcterms.abstract | With the trend of global warming and destructive human activities, the frequent occurrences of catastrophes have posed devastating threats to human life and social stability worldwide. The emergency management (EM) system plays a significant role in saving people's lives and reducing property damage. The prediction system for the occurrence of emergency events and resulting impacts is widely recognized as the first stage of the EM system, the accuracy of which has a significant impact on the efficiency of resource allocation, dispatching, and evacuation. In fact, the number and variety of contributions to prediction techniques, such as statistic analysis, artificial intelligence, and simulation method, are exploded in recent years, motivating the need for a systematic analysis of the current works on disaster prediction. To this end, this paper presents a systematic review of contributions on prediction methods for emergency occurrence and resource demand of both natural and man-made disasters. Through a detailed discussion on the features of each type of emergency event, this paper presents a comprehensive survey of state-of-the-art prediction technologies which have been widely applied in EM. After that, we summarize the challenges of current efforts and point out future directions. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | International journal of disaster risk reduction, Aug. 2021, v. 62, 102412 | en_US |
dcterms.isPartOf | International journal of disaster risk reduction | en_US |
dcterms.issued | 2021-08 | - |
dc.identifier.scopus | 2-s2.0-85109479642 | - |
dc.identifier.artn | 102412 | en_US |
dc.description.validate | 202108 bchy | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | a1003-n02 | - |
dc.identifier.SubFormID | 2384 | - |
dc.description.fundingSource | Self-funded | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Huang_Systematic_Review_Prediction.pdf | Pre-Published version | 1.17 MB | Adobe PDF | View/Open |
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