Abstract
In order to explore the way of sustainable development of scenic spots under the carbon neutrality goal, this paper firstly takes Wuhan Ecotourism Scenic Spot as the research object, through the investigation and analysis of tourists' perception of low carbon and the recognition of low-carbon image of scenic spots, Then, using the expectation difference theory , with the help of SPSS statistical software for paired sample t-test. Based on this, an IPA model is constructed, and the influencing factors of creating a "carbon neutral" scenic spot are analyzed and summarized, so as to find a path for the scenic spot to realize intelligent and low-carbon development. Finally, it is proposed that a "carbon neutral" scenic spot should be built on the basis of the deep integration of new technologies such as big data, cloud computing, 5G and the cultural tourism industry, and focus on three aspects: low-carbon environment creation, low-carbon product design and low-carbon institutional guarantee. Expand in every aspect.
Published Version
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