Research status and evolution trends of emergency information resource management: Based on bibliometric analysis from 2003 to 2022

Cheng, Quan; Zhang, Shuangbao

doi:10.1016/j.ijdrr.2023.104053

Cited by 7 publications

(2 citation statements)

References 93 publications

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“…With advancements in big data and AI technology, the management of information resources has become increasingly vital. To support emergency management decisions and efficiently manage resources, it is essential to swiftly and effectively collect, integrate, analyze, and utilize various information processing capabilities [63]. China could benefit from adopting Korea's approach, enhancing its collection of emergency information, maintaining alertness to significant disaster signals, improving its information analysis capabilities, and ensuring the timely dissemination of early warnings.…”

Section: Discussionmentioning

confidence: 99%

Assessing the Operational Capability of Disaster and Emergency Management Resources: Using Analytic Hierarchy Process

Zhang,

Lee

2024

Sustainability

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This study aims to assess the operational capability of disaster and emergency management resources (DEMRs), which is not only critical for effective loss reduction and resilience, but also facilitates the sharing and optimal use of resources for the more effective achievement of sustainable development. This study constructs an evaluation index system of the operational capability of DEMRs, encompassing four key aspects: resource planning, organizational management capability, resource support capability, and information processing capability. It focuses on identifying the factors that influence the operational capability of DEMRs in China and Korea, comparing and analyzing the relative importance and priority of each evaluation domain and indicator within these countries. The results show that the organizational management capability is most significant in China, whereas the resource support capability is prioritized in Korea. A comparative analysis of the local weight of indicators within each domain revealed the largest discrepancy between China and Korea in the information processing capability domain. This study concludes by calculating global weights, identifying the fast response capability and resource allocation capability as the most impactful factors on the operational capability of DEMRs, and highlighting their critical role in disaster and emergency management.

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Section: Discussionmentioning

confidence: 99%

Assessing the Operational Capability of Disaster and Emergency Management Resources: Using Analytic Hierarchy Process

Zhang,

Lee

2024

Sustainability

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“…In 2015, 91 documents obtained 91 2 (8281) total citations. The total citation (TC) trend experienced a fall since 2018 because there was only a short period of time between the time of publication and time of citation [112][113][114][115][116].…”

Section: Annual Publication Growthmentioning

confidence: 99%

A Bibliometric Analysis of a Genetic Algorithm for Supply Chain Agility

Lam,

Lee

2024

Mathematics

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As a famous population-based metaheuristic algorithm, a genetic algorithm can be used to overcome optimization complexities. A genetic algorithm adopts probabilistic transition rules and is suitable for parallelism, which makes this algorithm attractive in many areas, including the logistics and supply chain sector. To obtain a comprehensive understanding of the development in this area, this paper presents a bibliometric analysis on the application of a genetic algorithm in logistics and supply chains using data from 1991 to 2024 from the Web of Science database. The authors found a growing trend in the number of publications and citations over the years. This paper serves as an important reference to researchers by highlighting important research areas, such as multi-objective optimization, metaheuristics, sustainability issues in logistics, and machine learning integration. This bibliometric analysis also underlines the importance of Non-Dominated Sorting Genetic Algorithm II (NSGA-II), sustainability, machine learning, and variable neighborhood search in the application of a genetic algorithm in logistics and supply chains in the near future. The integration of a genetic algorithm with machine learning is also a potential research gap to be filled to overcome the limitations of genetic algorithms, such as the long computational time, difficulties in obtaining optimal solutions, and convergence issues for application in logistics and supply chains.

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Biophotonics as a new application in optical technology: A bibliometric analysis

Lam,

Lee

et al. 2023

Heliyon

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Research status and evolution trends of emergency information resource management: Based on bibliometric analysis from 2003 to 2022

Cited by 7 publications

References 93 publications

Assessing the Operational Capability of Disaster and Emergency Management Resources: Using Analytic Hierarchy Process

Assessing the Operational Capability of Disaster and Emergency Management Resources: Using Analytic Hierarchy Process

A Bibliometric Analysis of a Genetic Algorithm for Supply Chain Agility

Biophotonics as a new application in optical technology: A bibliometric analysis

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