Assessing urban resilience to public health disaster using the rough analytic hierarchy process method: A regional study in China

Liu, Zezhao; Ma, Rui; Wang, HuiJia

doi:10.1016/j.jnlssr.2021.12.003

Cited by 18 publications

(14 citation statements)

References 25 publications

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“…Some regions, such as Beijing, show more applied cases than expected, contrasted with the cumulative disease cases. With more abundant innovative and public health resources and excellent anti-disaster infrastructure, there is a relatively apparent concentrated distribution of both proposed and applied cases of technologies in comparatively developed areas like Hubei, Guangdong, and other provinces (Liu et al, 2021).…”

Section: Resultsmentioning

confidence: 99%

Smart technologies for fighting against pandemics: Observations from China during COVID-19

Long

2022

Transactions in Urban Data, Science, and Technology

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In recent years, pandemics have become one of the most significant challenges due to their huge socio-economic impacts. Fortunately, smart technologies have provided new ideas to fight against them. Many studies have focused on analyzing particular technologies applied in pandemics, but few have systematically discussed the difference and the relationship among multiple perspectives. China is well represented in the development of technologies and pandemic responses. Therefore, this paper uses China’s response to COVID-19 as an empirical study to systematically review the application of smart technologies and build a case base from multiple perspectives. A total of 1,102 cases from 14 technologies were collected from January 2020 to June 2020 after screening, and a series of analyses were conducted in terms of types, scales, stages, and targets. The result shows various subjects participated in pandemic responses using smart technologies. General technologies such as Big Data and Mobile Internet are most widely used. Besides, most technologies are used on the country or district/city scales and focus on the prevention and control of pandemics. There are significant differences in the penetration of technologies among different perspectives. We hope to provide a reference for applying smart technologies against pandemics in the future.

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Section: Resultsmentioning

confidence: 99%

Smart technologies for fighting against pandemics: Observations from China during COVID-19

Long

2022

Transactions in Urban Data, Science, and Technology

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“…[ 16 ], while others explore how resilience is measured and how public policy can be used to strengthen regional resilience (e.g., Refs. [ [17] , [18] , [19] ]. Another strand of the literature considers the role of innovation in promoting economic resilience [ 20 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Using MCDA to assist an Intermunicipal community develop a resilience strategy in face of the pandemic caused by the SARS-CoV-2

Gomes¹,

Santos²,

Coelho³

et al. 2023

Socio-Economic Planning Sciences

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“…In order to obtain more intuitive, realistic, and comprehensive model evaluation results, two weighting techniques of AHP and TOPSIS were utilized. The two techniques have been rapidly developed in recent years [ 15 , 24 , 26 , 27 , 28 , 29 ]. In this paper, the contribution of the study is extended by combining the use of AHP and TOPSIS to assess subjectively and objectively the weights of indicators considered relevant to improving community emergency management capacity.…”

Section: Case Study—a Community In Xi’an City As An Examplementioning

confidence: 99%

“…Resilience is a core element of disaster risk reduction [ 12 , 13 , 14 ]. Generally, a resilient system is defined as a flexible structure that can quickly adapt the system to a changing environment and mobilize all forces broadly to respond to emergencies [ 15 , 16 , 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

“…Zhang et al [ 25 ] explored a BP-neural network-based emergency logistics capacity evaluation model from the perspective of COVID-19. In terms of research on multi-criteria decision-making methods, AHP has been widely used in combination with other evaluation methods, such as hierarchical analysis, fuzzy integrated evaluation methods [ 26 ], Entropy-AHP, GIS [ 27 ], AHP 2-tuple fuzzy linguistic [ 28 ], R-AHP [ 15 ], FAHP-FDEMATEL-TOPSIS [ 29 ], and so on.…”

Section: Introductionmentioning

confidence: 99%

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

Wang

Deng

et al. 2022

IJERPH

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Community emergency management is directly related to the safety of people’s lives and properties and is concerned with economic development and social stability. This paper established an evaluation model of community emergency management capacity from the perspective of resilience based on hierarchical analysis (AHP) and distance between superior and inferior solutions (TOPSIS). In terms of infrastructure resilience, community organizational resilience, risk, and hidden danger management, emergency material security, emergency force construction, emergency literacy, and the evaluation index system of resilient community emergency management capacity were improved. By the AHP method, the weights of all indexes were determined scientifically. Combined with the TOPSIS method, the fit of the evaluated object which between the positive and negative ideal solution was calculated to determine the optimal evaluation among multiple experts. According to the validated assessment, the low-scoring indicators were analyzed to make practical suggestions for improvement. The results provide new theoretical methods and technical support for the assessment of community emergency response capacity, which also provides reference for the assessment of emergency response capacity in other fields.

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Assessing urban resilience to public health disaster using the rough analytic hierarchy process method: A regional study in China

Cited by 18 publications

References 25 publications

Smart technologies for fighting against pandemics: Observations from China during COVID-19

Smart technologies for fighting against pandemics: Observations from China during COVID-19

Using MCDA to assist an Intermunicipal community develop a resilience strategy in face of the pandemic caused by the SARS-CoV-2

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

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