Abstract

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.

Highlights

  • The environment of maritime traffic is complex and changeable, and natural conditions such as wind and flow are often very terrible when accidents occur, which brings greater difficulties to emergency rescue work [1]

  • It can be seen that maritime emergency resources, which contain all kinds of required resources needed in each process of maritime emergency work, run through the entire process of maritime emergency work

  • There is a long history of research on forecasting emergency resource demand. 0 lists some of the main emergency resource demand prediction methods, which can be roughly divided into two categories

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Summary

Summary

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. 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.

Introduction
Overview of maritime emergency
Overview of emergency demand prediction methods
Linear regression analysis (1) Fundamental theory Linear
Case-based Reasoning (1) Fundamental
Comparison and analysis of three typical demand analysis methods
Method Linear regression model
Future research prospects
Findings
Conclusion

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