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Resilience serves as a crucial metric for gauging the sustainable development capacity of tourist destinations and has emerged as a novel focal point within the realm of "tourism man-land relationship."This study endeavors to formulate an evaluative index framework for the resilience of tourism destination environmental systems grounded in the "social-economic-ecological-facilities" dimension.Subsequently, employing the entropy weight model, spatial autocorrelation model, and Geodetector model, the research seeks to conduct a quantitative analysis of the spatio-temporal evolution characteristics and driving factors influencing the resilience of the tourism environmental system within the Yangtze River Economic Belt.The overarching objective is to offer a case-based reference that contributes to the interdisciplinary exploration of resilience theory and tourism environmental systems, enabling a scientific assessment of the sustainable development capacity of tourism destinations, and facilitating the optimization of the development habitat of the regional tourism industry.The results show that: (1) The resilience of the tourism environmental system demonstrates an overall ascending trajectory, albeit with a discernible fragility.The growth rate of resilience within each subsystem follows the sequence of "economic environment>social environment>facility environment >ecological environment."Moreover, the emergence of two resilience convergence clusters, namely "society-economy" and "facility-ecology," is observed.(2) The distribution of resilience levels within the tourism environmental systems of provinces and municipalities in the Yangtze River Economic Belt exhibits a noteworthy spatio-temporal transition.The resilience indices of the upstream, midstream, and downstream areas exhibit an upward trend, delineating a pattern of "upstream<midstream <downstream."(3) Regions with akin resilience levels in tourism environmental systems tend to concentrate, with an overall intensification of spatial agglomeration.Local spatial agglomeration
Yang et al. (Tue,) studied this question.
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