REVIEW AND COMPARISON OF THE DEMAND ANALYSIS METHODS OF MARITIME EMERGENCY RESOURCES
The demand analysis method of maritime emergency resources is the key technology to promote a reasonable emergency resource allocation during maritime emergency management. It is widely used to improve the efficiency of maritime emergency rescue and reduce the loss of maritime accidents. However, it...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Faculty of Mechanical Engineering and Naval Architecture
2022-01-01
|
| Series: | Brodogradnja |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/396573 |
| _version_ | 1818308970158227456 |
|---|---|
| author | Quandang Ma Yang Zhou Lei Liu |
| author_facet | Quandang Ma Yang Zhou Lei Liu |
| author_sort | Quandang Ma |
| collection | DOAJ |
| description | The demand analysis method of maritime emergency resources is the key technology to promote a reasonable emergency resource allocation during maritime emergency management. It is widely used to improve the efficiency of maritime emergency rescue and reduce the loss of maritime accidents. However, it requires a scientific and effective method of the demand analysis of maritime emergency resources. This paper aims to analyze the underlying modeling paradigms and to assess the extent to which the demand analysis methods of maritime emergency resources can meet the requirements. Focusing on the demand analysis methods, this paper provides a broad overview of the current literature on maritime emergency resources of the last decades, by considering the models’ purposes, theoretical frameworks, factors, and outputs. The results indicate that the existing methods can be classified into three concepts: the linear regression theory, Back Propagation (BP) Neural Network, and Case-based Reasoning (CBR) technology. Combined with the characteristics of China's maritime emergency management field, the interaction between theoretical framework and applications is not sufficiently understood and thus needs to be further studied. Being familiar with knowledge gaps acts as a catalyst for further research on scientific and efficient demand analysis methods of maritime emergency resources in various navigation conditions. |
| first_indexed | 2024-12-13T07:22:44Z |
| format | Article |
| id | doaj.art-96b3669c2496486882d10b86e83ff8b9 |
| institution | Directory Open Access Journal |
| issn | 0007-215X 1845-5859 |
| language | English |
| last_indexed | 2024-12-13T07:22:44Z |
| publishDate | 2022-01-01 |
| publisher | Faculty of Mechanical Engineering and Naval Architecture |
| record_format | Article |
| series | Brodogradnja |
| spelling | doaj.art-96b3669c2496486882d10b86e83ff8b92022-12-21T23:55:24ZengFaculty of Mechanical Engineering and Naval ArchitectureBrodogradnja0007-215X1845-58592022-01-0173114116210.21278/brod73108270REVIEW AND COMPARISON OF THE DEMAND ANALYSIS METHODS OF MARITIME EMERGENCY RESOURCESQuandang Ma0Yang Zhou1Lei Liu2School of Navigation, Wuhan University of Technology, Wuhan, China; Intelligent Transportation Systems Center, Wuhan University of Technology, Wuhan, China; National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan, China; Hubei key Laboratory of Inland Shipping Technology, Wuhan, Hubei, China;School of Navigation, Wuhan University of Technology, Wuhan, ChinaSchool of Transportation, Southeast University, Nanjing, ChinaThe demand analysis method of maritime emergency resources is the key technology to promote a reasonable emergency resource allocation during maritime emergency management. It is widely used to improve the efficiency of maritime emergency rescue and reduce the loss of maritime accidents. However, it requires a scientific and effective method of the demand analysis of maritime emergency resources. This paper aims to analyze the underlying modeling paradigms and to assess the extent to which the demand analysis methods of maritime emergency resources can meet the requirements. Focusing on the demand analysis methods, this paper provides a broad overview of the current literature on maritime emergency resources of the last decades, by considering the models’ purposes, theoretical frameworks, factors, and outputs. The results indicate that the existing methods can be classified into three concepts: the linear regression theory, Back Propagation (BP) Neural Network, and Case-based Reasoning (CBR) technology. Combined with the characteristics of China's maritime emergency management field, the interaction between theoretical framework and applications is not sufficiently understood and thus needs to be further studied. Being familiar with knowledge gaps acts as a catalyst for further research on scientific and efficient demand analysis methods of maritime emergency resources in various navigation conditions.https://hrcak.srce.hr/file/396573maritime traffic accidentmaritime emergency resourcedemand predictionthe demand analysis method |
| spellingShingle | Quandang Ma Yang Zhou Lei Liu REVIEW AND COMPARISON OF THE DEMAND ANALYSIS METHODS OF MARITIME EMERGENCY RESOURCES Brodogradnja maritime traffic accident maritime emergency resource demand prediction the demand analysis method |
| title | REVIEW AND COMPARISON OF THE DEMAND ANALYSIS METHODS OF MARITIME EMERGENCY RESOURCES |
| title_full | REVIEW AND COMPARISON OF THE DEMAND ANALYSIS METHODS OF MARITIME EMERGENCY RESOURCES |
| title_fullStr | REVIEW AND COMPARISON OF THE DEMAND ANALYSIS METHODS OF MARITIME EMERGENCY RESOURCES |
| title_full_unstemmed | REVIEW AND COMPARISON OF THE DEMAND ANALYSIS METHODS OF MARITIME EMERGENCY RESOURCES |
| title_short | REVIEW AND COMPARISON OF THE DEMAND ANALYSIS METHODS OF MARITIME EMERGENCY RESOURCES |
| title_sort | review and comparison of the demand analysis methods of maritime emergency resources |
| topic | maritime traffic accident maritime emergency resource demand prediction the demand analysis method |
| url | https://hrcak.srce.hr/file/396573 |
| work_keys_str_mv | AT quandangma reviewandcomparisonofthedemandanalysismethodsofmaritimeemergencyresources AT yangzhou reviewandcomparisonofthedemandanalysismethodsofmaritimeemergencyresources AT leiliu reviewandcomparisonofthedemandanalysismethodsofmaritimeemergencyresources |