Emergency response plan recommendation and composition system (ERPRCS)

Afzal, Ayesha; Shafiq, Basit; Shamail, Shafay; Elahraf, Abeer; Vaidya, Jaideep; Adam, Nabil R.

doi:10.1145/3209281.3209348

Cited by 3 publications

(3 citation statements)

References 24 publications

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“…e.g., floods, hurricanes, earthquakes, avalanches, and bushfires. Human-made disasters [15,38,46,61,62,[65][66][67]69,70,74,85,86,[93][94][95]97] The articles in which the category of disaster involves the calamities caused by mankind. For instance, fire emergencies such as fire in a building or urban fire emergencies, and day-to-day emergencies that can be traffic accidents, and industrial accidents.…”

Section: Disasters Descriptionmentioning

confidence: 99%

The Use of Decision Support in Search and Rescue: A Systematic Literature Review

Nasar

Torres

Gundersen

et al. 2023

IJGI

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Whenever natural and human-made disasters strike, the proper response of the concerned authorities often relies on search and rescue services. Search and rescue services are complex multidisciplinary processes that involve several degrees of interdependent assignments. To handle such complexity, decision support systems are used for decision-making and execution of plans within search and rescue operations. Advances in data management solutions and artificial intelligence technologies have provided better opportunities to make more efficient and effective decisions that can lead to improved search and rescue operations. This paper provides findings from a bibliometric mapping and a systematic literature review performed to: (1) identify existing search and rescue processes that use decision support systems, data management solutions, and artificial intelligence technologies; (2) do a comprehensive analysis of existing solutions in terms of their research contributions to the investigated domain; and (3) investigate the potential for knowledge transfer between application areas. The main findings of this review are that non-conventional data management solutions are commonly used in land rescue operations and that geographical information systems have been integrated with various machine learning approaches for land rescue. However, there is a gap in the existing research on search and rescue decision support at sea, which can motivate future studies within this specific application area.

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Section: Disasters Descriptionmentioning

confidence: 99%

The Use of Decision Support in Search and Rescue: A Systematic Literature Review

Nasar

Torres

Gundersen

et al. 2023

IJGI

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“…In order to establish formalized case description, ontology model is often used to extend the case-based reasoning process [18]- [20]. Afzal et al [21] considered the problem of dynamic emergency response which requires adaptability to changing situation as the incident evolves, and proposed a dynamic composition approach of existing response processes. One drawback of case-based reasoning approaches is that the wide range of information demand of establishing emergency response plans, e.g., organization information and resource information, are hardly satisfied by real world historical cases.…”

Section: Related Workmentioning

confidence: 99%

“…More recently, there is work on integrating HTN with casebased reasoning to improve the expression capacity of historical cases at different detail level [25]. Existing work on emergency planning mainly focuses on constructing formalized emergency planning models such as emergency response process models [21], [26], emergency response task networks [23], [24] and 'strategy-risk' response ontologies [17], [19], which are still a long way from generating textual ERPs that can be directly used by emergency administrative staffs.…”

Section: Related Workmentioning

confidence: 99%

Rapid Generation of Emergency Response Plans for Unconventional Emergencies

Liu

Chen

2020

IEEE Access

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Unconventional emergencies can lead to unforeseen disastrous penalties. Due to their unrepeatable, complex, and unpredictable nature, it is generally hard to establish high-quality Emergency Response Plans (ERPs) for unconventional emergencies, thus posing great challenges for unconventional emergency response. This work proposes a rapid ERP generation approach for unconventional emergencies so as to provide support for emergency decision-making. The generation of ERPs is achieved by exploitation of existing ERPs that contain much emergency response experience. First, a number of ERPs are collected and structurally organized to construct an ERP repository. Then, the applicability of each ERP segment in the repository to a given unconventional emergency is evaluated by a proposed ERP similarity measure and emergency scenario matching mechanism, in which the semantic relevance and the scenario consistency of an ERP segment are taken into account, respectively. Applicable ERP segments are obtained for each section of ERPs, and combined to form a new ERP with the guidance of pre-defined ERP structure. Furthermore, we design an ERP assessment method and perform a case study on the proposed approach which presents encouraging experimental results.

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Generating textual emergency plans for unconventional emergencies — A natural language processing approach

Shen

Liu

et al. 2023

Safety Science

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Emergency response plan recommendation and composition system (ERPRCS)

Cited by 3 publications

References 24 publications

The Use of Decision Support in Search and Rescue: A Systematic Literature Review

The Use of Decision Support in Search and Rescue: A Systematic Literature Review

Rapid Generation of Emergency Response Plans for Unconventional Emergencies

Generating textual emergency plans for unconventional emergencies — A natural language processing approach

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