This study focuses on the traditional village landscape of the Yuan River Basin in Hunan Province, aiming to break through the limitations of subjectivity and one-sidedness in existing evaluation methods by coupling the importance-performance analysis (IPA) with the entropy weight method (EWM) to construct a comprehensive evaluation framework for tourists' satisfaction. This study provides an analysis framework that is both scientific and applicable. Based on 569 valid questionnaire data, the study first applies the EWM method to objectively weight 21 landscape factors and then uses the IPA method to analyze the perceived importance and satisfaction of tourists, thereby identifying the optimization level of each factor. The results show that cultural elements account for the highest proportion of the overall weight. Specifically, the continuity of intangible cultural heritage, the adequacy of recreational facilities, and the village popularity and reputation which are classified into the "key improvement area" with IPA indices of 30.957, 27.174, and 20.141, respectively, revealing a significant gap between the current tourist experience and expectations. This study not only verifies the adaptability and sensitivity of the IPA–EWM method in the satisfaction evaluation of traditional village landscapes, but also provides strong support and decision-making basis for the protection of traditional village landscapes, the optimization of tourism services, and the dynamic inheritance of culture in China. Compared with the previous studies that only use IPA or subjective weighting methods, this method has stronger explanatory power of the results and shows important theoretical innovation and practice guidance in the context of highquality development of rural cultural tourism.
WANG et al. (Thu,) studied this question.