A Dynamic Emergency Plan Generation Method Considering Different Situations and Limited Resources

Zixin Zhang, Liang Wang (), Jiayan Lai and Yingming Wang
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Zixin Zhang: School of Economics and Management, Yango University, Fuzhou 350015, China
Liang Wang: Decision Sciences Institute, Fuzhou University, Fuzhou 350116, China
Jiayan Lai: Decision Sciences Institute, Fuzhou University, Fuzhou 350116, China
Yingming Wang: School of Economics and Management, Yango University, Fuzhou 350015, China

Sustainability, 2023, vol. 15, issue 7, 1-11

Abstract: When an emergency event occurs, emergency plans are usually employed to respond the emergency situations in order to prevent or mitigate possible losses of life and property. Therefore, emergency plans play an important and indispensable part in emergency decision-making. With regard to the question of how to generate emergency plans, extant studies have discussed the problem from various perspectives, and fruitful results have been obtained. Dynamic evolution is a typical feature of emergency events, and usually involves the updating of related information regarding an emergency event. Existing studies have considered dynamic evolution during the emergency plan generation process only from a single perspective, neglecting the related need to update information as dynamic evolution occurs. Information related to the emergency event plays a vital role in the emergency plan generation process, and needs to be considered. To overcome these limitations, the present study proposes a novel dynamic emergency plan generation method based on integer linear programming, which considers different emergency situations and limited resources. An illustrative example and descriptive comparisons are provided to demonstrate the novelty, superiority, and validity of the proposed method.

Keywords: emergency plan; emergency management; different situations; limited resources (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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