2021
DOI: 10.1016/j.ijdrr.2021.102248
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Measuring the resilience to floods: A comparative analysis of key flood control cities in China

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Cited by 49 publications
(22 citation statements)
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“…For example, Ruan, JE integrates urban economy, society and ecology as elements of the evaluation model [ 54 , 61 ] in the evaluation of urban flood resilience by using index system. At present, methods include the fuzzy comprehensive evaluation method (PCA), principal component analysis and analytic hierarchy process [ 62 ], factor analysis [ 63 ], TOPSIS [ 64 ] and other methods. The weights of toughness indexes were ranked to reflect the strengths and weaknesses of each evaluation object or index.…”
Section: Systematic Analysismentioning
confidence: 99%
“…For example, Ruan, JE integrates urban economy, society and ecology as elements of the evaluation model [ 54 , 61 ] in the evaluation of urban flood resilience by using index system. At present, methods include the fuzzy comprehensive evaluation method (PCA), principal component analysis and analytic hierarchy process [ 62 ], factor analysis [ 63 ], TOPSIS [ 64 ] and other methods. The weights of toughness indexes were ranked to reflect the strengths and weaknesses of each evaluation object or index.…”
Section: Systematic Analysismentioning
confidence: 99%
“…Combined with the theory of safety science [11], socio-technical systems [45], and the four elements theory of accidents [10,46], considering that the construction system is affected by personnel, machinery, environment, management, and other factors [47,48], the high-speed railway subgrade construction system in goaf sites is divided into four subsystems: organization member system, material technology system, management system, and environmental system.…”
Section: Highmentioning
confidence: 99%
“…Although these two methods use quantitative analysis, it is not scientific enough to evaluate UR because that the subjectivity caused by human interference factors makes the index ranking values different. There are also studies that have constructed an entropy weight model (Zhang et al, 2021) and a PCA (principal component analysis) method (Wu, 2021) to evaluate the level of UR. Even these two objectively analyze the impact of system data with high dimensional, nonlinear and non-normality on the UR to a certain extent, the correlation between different systems was ignored.…”
Section: Introductionmentioning
confidence: 99%