Measurement methods and influencing mechanisms for the resilience of large airports under emergency events

Bao, Danwen

doi:10.1080/23249935.2018.1448016

Cited by 12 publications

(8 citation statements)

References 6 publications

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“…At present, SPA and the Markov chain were used in many fields of evaluation and prediction research. For instance, study reported that Bao and Zhang [29] adopted SPA to evaluate the emergency response capacity of large airports so that factors and mechanism of airport vulnerability and emergency response capacity on airport flexibility have been made sure of to improve the resilience of airports. Wang et al [25] used rank set pair analysis (RSPA) combined with wavelet denoising (WD) to establish hydrometeorological time series prediction model for disaster reduction of drought and flood.…”

Section: Discussionmentioning

confidence: 99%

An Efficacy Predictive Method for Diabetic Ulcers Based on Higher‐Order Markov Chain‐Set Pair Analysis

Kuai

Fei

Xing³

et al. 2020

Evidence-Based Complementary and Alternative Medicine

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Background. Clinical comprehensive decision-making of diabetic ulcers includes curative effect evaluation and curative effect prediction. Nevertheless, there are few studies on the prediction of diabetic ulcers. Methods. Set pair analysis (SPA) was used to assess the curative effect evaluation, and therapeutic effect was evaluated by connection degree (CD). The higher-order Markov chain-SPA curative effect prediction model was established to predict the future curative effect development. The predicted results with higher-order Markov chain-SPA and traditional first-order Markov-SPA model were compared with the actual results of the patients to verify the effectiveness of prediction. Results. The connection degree of index levels I and II of 15 patients with diabetic ulcers after traditional Chinese medicine (TCM) treatment increased with time, while that of index levels IV and V decreased, indicating that the curative effect tends to improve. The higher-order Markov chain-SPA model was used to predict the curative effect. The results showed that the relative errors were fewer than the traditional first-order Markov-SPA model. Conclusions. The present study suggests that a method of SPA combined with higher-order Markov-SPA is relatively effective and can be applied to the clinical prediction of diabetic ulcers, which has higher accuracy than traditional first-order curative effect prediction model.

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Section: Discussionmentioning

confidence: 99%

An Efficacy Predictive Method for Diabetic Ulcers Based on Higher‐Order Markov Chain‐Set Pair Analysis

Kuai

Fei

Xing³

et al. 2020

Evidence-Based Complementary and Alternative Medicine

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“…For instance, SPA based layer of protection analysis has been applied in quantitative risk assessment [21]. Besides, SPA has been used to evaluate the emergency response capacity of large airports, making sure the factors and mechanism of airport vulnerability and emergency response capacity on airport flexibility, which has improved the resilience of airports [22, 23].…”

Section: Discussionmentioning

confidence: 99%

Application of a Cloud Model-Set Pair Analysis in Efficacy Assessment for Diabetic Ulcers

Kuai

Xing

Zhang

et al. 2019

Evidence-Based Complementary and Alternative Medicine

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Because treatment of diabetic ulcers includes various uncertainties, efficacy assessments are needed and significant. In previous studies, set pair analysis (SPA) has been applied to the efficacy assessments of traditional Chinese medicine (TCM) that pick out uncertainties related to the development and prognosis of disease. Optimized clinical protocols of SPA improve clinical efficacy. In the article, cloud model (CM) is employed to improve SPA, and a novel efficacy assessment method for a treatment of diabetic ulcers is proposed based on the cloud model-set pair analysis (CM-SPA). It is recommended to replace connection degree (CD) with cloud connection degree (CCD) that the efficacy assessment results are shown as normal clouds. Then, three diabetic ulcers patients treated with TCM made importance assessment by both CM-SPA and AHP based SPA. The comparison of assessment results shows that the CM-SPA is efficacious for the efficacy assessment of a treatment for diabetic ulcers and the results will be more scientific and accurate via CM-SPA.

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“…The study showed that airport resilience is affected by weather conditions, airport capacity, and alternatives. Bao and Zhang [6] measured the resilience of Beijing Capital International Airport to emergency events. The study developed a system to measure the resilience of large airports to emergencies, identifying how vulnerability and contingency affect operational resilience so that airport managers can take appropriate measures to respond to emergencies.…”

Section: Literature Review On Airport Resiliencementioning

confidence: 99%

“…Therefore, it is crucial for airport managers to utilize a resilience assessment model to develop comprehensive protection strategies and contingency measures. This approach not only improves emergency management capabilities but also facilitates efficient reconstruction planning, aiming to enhance facility resilience, minimize the likelihood of air transportation system disruptions, and expedite the airport's return to normal operations [6].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Mutual Influence Relationships of International Airport Resilience Factors from the Perspective of Aviation Safety: Using Fermatean Fuzzy DEMATEL Approach

Huang,

et al. 2023

Axioms

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International airports are responding to the threat of climate change and various man-made hazards by proposing impact protection measures. Airport managers and risk controllers should develop a comprehensive risk assessment model to measure the mutual influence relationships of resilience factors. In this paper, the problem of treating resilience factors as independent ones in previous studies is overcome. In this study, we not only develop a framework for assessing resilience factors in international airports based on an aviation safety perspective, but also develop the Fermatean fuzzy decision-making trial and evaluation laboratory (FF-DEMATEL) to identify the mutual influence relationships of resilience factors. Fermatean fuzzy sets are incorporated in DEMATEL to reflect information incompleteness and uncertainty. The critical resilience factors of international airports were identified through real-case analysis. In terms of importance, the results show that rescue capability is a core capability that is important for airport resilience. In addition, “security management system (SeMS) integrity”, “education and training of ground staff on airport safety awareness”, “first aid mechanism for the injured”, and “adequate maintenance equipment for rapid restoration tasks” are identified as key factors that are given more weights. On the other hand, in terms of influence strength, the detection capability has the highest total influence and significantly influenced the other resilience capabilities. Finally, the influential network relation map (INRM) is utilized to assist decisionmakers in swiftly comprehending the impact of factors and formulating viable strategies to enhance airport resilience. This enables airport managers and risk controllers to make informed decisions and allocate resources efficiently.

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Measurement methods and influencing mechanisms for the resilience of large airports under emergency events

Cited by 12 publications

References 6 publications

An Efficacy Predictive Method for Diabetic Ulcers Based on Higher‐Order Markov Chain‐Set Pair Analysis

An Efficacy Predictive Method for Diabetic Ulcers Based on Higher‐Order Markov Chain‐Set Pair Analysis

Application of a Cloud Model-Set Pair Analysis in Efficacy Assessment for Diabetic Ulcers

Exploring the Mutual Influence Relationships of International Airport Resilience Factors from the Perspective of Aviation Safety: Using Fermatean Fuzzy DEMATEL Approach

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