TY - JOUR
T1 - A systematic review of prediction methods for emergency management
AU - Huang, Di
AU - Wang, Shuaian
AU - Liu, Zhiyuan
N1 - Funding Information:
This study is supported by the National Key R&D Program of China (Project No. 2018YFE0102700 ).
Publisher Copyright:
© 2021
PY - 2021/8
Y1 - 2021/8
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Disaster
KW - Emergency management system
KW - Prediction methods
KW - Resource demand
KW - Review
UR - http://www.scopus.com/inward/record.url?scp=85109479642&partnerID=8YFLogxK
U2 - 10.1016/j.ijdrr.2021.102412
DO - 10.1016/j.ijdrr.2021.102412
M3 - Review article
AN - SCOPUS:85109479642
SN - 2212-4209
VL - 62
JO - International Journal of Disaster Risk Reduction
JF - International Journal of Disaster Risk Reduction
M1 - 102412
ER -