Study on the Evaluation of Emergency Management Capacity of Resilient Communities by the AHP-TOPSIS Method

Wang, Kai; Wang, Zhe; Deng, Jun; Feng, Yuanyuan; Li, Quanfang

doi:10.3390/ijerph192316201

Cited by 15 publications

(9 citation statements)

References 49 publications

(58 reference statements)

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“… Step 2: Perform a pairwise comparison for each layer to compare the weights of each element. Using a score from 1 to 9, which is the basic scale of the AHP, each pair is compared according to the expert’s judgment, and the importance is judged [ 19 , 20 ]. …”

Section: Methodsmentioning

confidence: 99%

Development of an index system for the scientific literacy of medical staff: a modified Delphi study in China

Liang,

Zhai,

Feng

et al. 2024

BMC Med Educ

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Background Scientific research activity in hospitals is important for promoting the development of clinical medicine, and the scientific literacy of medical staff plays an important role in improving the quality and competitiveness of hospital research. To date, no index system applicable to the scientific literacy of medical staff in China has been developed that can effectively evaluate and guide scientific literacy. This study aimed to establish an index system for the scientific literacy of medical staff in China and provide a reference for improving the evaluation of this system. Methods In this study, a preliminary indicator pool for the scientific literacy of medical staff was constructed through the nominal group technique (n = 16) with medical staff. Then, two rounds of Delphi expert consultation surveys (n = 20) were conducted with clinicians, and the indicators were screened, revised and supplemented using the boundary value method and expert opinions. Next, the hierarchical analysis method was utilized to determine the weights of the indicators and ultimately establish a scientific literacy indicator system for medical staff. Results Following expert opinion, the index system for the scientific literacy of medical staff featuring 2 first-level indicators, 9 second-level indicators, and 38 third-level indicators was ultimately established, and the weights of the indicators were calculated. The two first-level indicators were research literacy and research ability, and the second-level indicators were research attitude (0.375), ability to identify problems (0.2038), basic literacy (0.1250), ability to implement projects (0.0843), research output capacity (0.0747), professional capacity (0.0735), data-processing capacity (0.0239), thesis-writing skills (0.0217), and ability to use literature (0.0181). Conclusions This study constructed a comprehensive scientific literacy index system that can assess medical staff's scientific literacy and serve as a reference for evaluating and improving their scientific literacy.

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Section: Methodsmentioning

confidence: 99%

Development of an index system for the scientific literacy of medical staff: a modified Delphi study in China

Liang,

Zhai,

Feng

et al. 2024

BMC Med Educ

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“…Dzigbede et al ( 25 ) utilized an item response theory (IRT) model to categorize and delineate the concept of community resilience across four dimensions: capacity, attributes, structure, and processes, thereby establishing a theoretical model for community resilience assessment. Wang et al ( 26 ), utilizing fuzzy analytic hierarchy process (FAHP) and fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), developed a model for assessing community risk factors in the context of the COVID-19 pandemic. Using four communities as case studies, they quantified 12 evaluation indicators, including suspected infection, confirmed number, isolation of relevant personnel, enclosure and closure, and the establishment of unified entrances and exits, etc., resulting in safety risk values and relative rankings for the case study communities.…”

Section: Related Workmentioning

confidence: 99%

The application of innovative ecosystems to build resilient communities in response to major public health events

La,

Li,

Liu

2024

Front. Public Health

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In recent years, major public health events have had a significant and far-reaching impact on communities. As a response, there has been an increasing interest in enhancing community resilience through innovative ecosystems that involve diverse stakeholders with varying needs and demands. This study investigates the application of innovative ecosystems to improve community resilience in the face of major public health events by utilizing a sequential game approach to balance the interests of government, community, and residents. Subsequently, a comprehensive questionnaire survey was conducted among key stakeholders to ascertain their objectives, requirements and concerns for the innovation ecosystem based on the analysis results of the game model. The reliability and effectiveness of the proposed research method were verified through the analysis and verification of the sequence game model and questionnaire survey results. Finally, according to our analysis results, we propose countermeasures for promoting innovative ecosystems to improve community resilience. The research results indicate that the successful implementation of innovative ecosystems requires consideration of the different needs of stakeholders such as government officials, community members, and residents. Combining these perspectives can effectively promote such systems while enhancing the community’s resilience to major public health events.

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“…The level of urban emergency response capacity directly affects the ability of urban systems to respond to disasters [35]. Therefore, this thesis reflects the comprehensive emergency management capability in terms of grassroots prevention construction, safety and governance capability, social supervision services, press and publicity situation, and organization and institution construction [36,37].…”

Section: Construction Of the Evaluation Systemmentioning

confidence: 99%

The Evaluation and Obstacle Analysis of Urban Safety Resilience Based on Multi-Factor Perspective in Beijing

Liu,

Pei,

Wang

et al. 2023

Land

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Urban resilience assessment is crucial to guarantee the safe and stable operation of our cities. Looking at the whole process of emergencies from the occurrence, development, causing disaster losses to taking emergency response measures, we combine the danger of urban accident and disaster, the capacity of disaster-bearing carriers, and the emergency management capacity as the influencing factors. Taking Beijing as an example, considering the completeness of the relevant indicators and the difficulty of obtaining data, TOPSIS is used to construct a multi-factor comprehensive assessment model of urban safety resilience; At the same time, the important factors constraining the improvement of safety resilience are further analyzed by using the obstacle degree model. The results show that: among the 16 districts in Beijing, Chaoyang and Haidian districts have the highest level of safety resilience; the level of the degree of disaster tolerance among the multi-factors has the greatest impact on the level of urban safety resilience in Beijing; and the multifactorial comprehensive assessment model of urban resilience is able to reflect the urban resilience distribution, discover the weaknesses that exist in the development of urban safety and provide decision-making aids for the relevant city managers to carry out urban resilience construction.

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Study on the Evaluation of Emergency Management Capacity of Resilient Communities by the AHP-TOPSIS Method

Cited by 15 publications

References 49 publications

Development of an index system for the scientific literacy of medical staff: a modified Delphi study in China

Development of an index system for the scientific literacy of medical staff: a modified Delphi study in China

The application of innovative ecosystems to build resilient communities in response to major public health events

The Evaluation and Obstacle Analysis of Urban Safety Resilience Based on Multi-Factor Perspective in Beijing

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