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Following the outbreak of COVID-19, the cruise industry hit its lowest point, which made operators either cancel or change cruise itineraries, causing significant devastation to cruise ports and port cities. Consequently, the concept of resilience, which focuses on an industry's ability to recover after disruption, has grown in popularity and must be studied by both scholars and practitioners. This study aims to construct a valid hierarchical resilience model based on the causal interrelationship between attributes to guide practitioners in reaching resilient outcomes. The results are expected to be useful for researchers and industry stakeholders in determining actions to utilize the remaining equipment and budget to build future strategies for a quicker recovery. This study uses the fuzzy decision-making trial and evaluation laboratory (FDEMATEL) and the analytic network process (ANP) to analyze questionnaires and accomplish the objectives of the study. The findings show that technological resilience is the most important dimension and that it has strong influences on all other dimensions. In addition, innovation adaptability, port authorities, the urban built environment and resource allocation procedures are the linkage criteria identified as the strongest causes in achieving resilience. [ABSTRACT FROM AUTHOR]

Pumped storage power stations'(PSPSs) construction sites are widely concentrated in mountainous rural areas, which brings significant benefits to the areas' development. China encourages the development of PSPSs, and also supports the development of rural areas driven by PSPSs. Scientifically evaluating the benefits of PSPSs boosting rural revitalization is helpful in timely discovering the deficiencies of PSPSs promoting rural development, and further playing the role of PSPSs in rural revitalization strategy in China. So, this paper proposes methodology to scientifically evaluate the benefits of PSPS boosting rural revitalization: uses context, input, process, product (CIPP) model to construct an evaluation indicator system; combines Fuzzy decision-making trial and evaluation laboratory (Fuzzy-DEMATEL) with analytic network process (ANP) to determine the indicator weights; uses the improved matter-element extension model (IMEM) to comprehensively evaluate the benefit of PSPS boosting rural revitalization in the surrounding areas. The example analysis results show that the benefit levels of 10 PSPSs are: good, relatively good, moderate, moderate, moderate, moderate, relatively good, moderate, relatively good, relatively good; the corresponding grade closeness is: 0.99932, 0.99921, 0.99883, 0.99930, 0.99908, 0.99871, 0.99886, 0.99894, 0.99902, 0.99898. Validity tests prove that the models are scientific and effective. Recommendations for PSPS to promote rural revitalization are presented. [Display omitted] [ABSTRACT FROM AUTHOR]