(1) Background: Exploring the interactive relationship between intensive land use (ILU) and tourism industry development (TID) is of vital significance to promote the high-quality and sustainable development of tourism and the urban economy. (2) Methods: This paper constructs an evaluation index system of ILU and TID, and comprehensively measures the coupling and interaction between ILU and TID in China’s 58 major tourist cities from 2004 to 2018 by using the entropy weight method, coupling coordination degree model, and panel vector autoregressive model. (3) Results: In terms of the coupling relationship, the coupling coordination degree of ILU and TID in China’s major tourist cities were optimized year by year, and the coupling coordination degree from 2004 to 2008 was less than 0.2, which is part of the serious imbalance recession stage. From 2009 to 2018, the coupling coordination degree was between 0.2 and 0.4, which is part of the moderate maladjustment recession stage. In terms of interactive response, ILU and TID formed a long-term interactive relationship, and the intensity effect of ILU on TID is significantly higher than that of TID on ILU. (4) Conclusions: There is a significant correlation and bidirectional process between ILU and TID, and they have an essential impact on the high-quality development of tourist cities.
Cultural identity experience involves a process of self-identification, which helps to strengthen cultural confidence. As the core area of the 21st Century Maritime Silk Road, Fujian Province represents an important starting point and birthplace of the ancient Maritime Silk Road, while numerous museums are the symbols of the culture in the region. At present, the tourism development of China's Marine Silk Museum faces five constraints: static display restricts comprehensive perception, emotional barriers restrict the empathy, one-way infusion restricts active thinking, interactive limitation restricts participation of tourists, and association offline restricts cultural self-confidence. To this end, sensory experience, emotional experience, thinking experience, action experience, and associated experience are integrated into the construction of the museum, hence promoting the tourism development of the Marine Silk Culture Museum.
The evaluation and trend prediction of tourism economic vulnerability (TEV) in major tourist cities are necessary for formulating tourism economic strategies scientifically and promoting the sustainable development of regional tourism. In this study, 58 major tourist cities in China were taken as the research object, and an evaluation index system of TEV was constructed from two aspects of sensitivity and adaptive capacity. On the basis of the entropy weight method, TOPSIS model, obstacle diagnosis model, and BP neural network model, this study analyzed the spatiotemporal patterns, obstacle factors, and future trends of TEV in major tourist cities in China from 2004 to 2019. The results show three key findings: (1) In terms of spatiotemporal patterns, the TEV index of most of China’s tourist cities has been on the rise from 2004 to 2019. Cities throughout the coast of China’s Yangtze River Delta and the Pearl River Delta urban agglomeration show high vulnerability, whereas low vulnerability has a scattered distribution in China’s northeast, central, and western regions. (2) The proportion of international tourists out of total tourists, tourism output density, urban industrial sulfur dioxide emissions per unit area, urban industrial smoke and dust emission per unit area, and discharge of urban industrial wastewater per unit area are the five major obstacles affecting the vulnerability degree of the tourism economy. (3) According to the prediction results of TEV from 2021 to 2030, although the TEV of many tourist cities in China is increasing year by year, cities with low TEV levels occupy the dominant position. Research results can provide reference for tourist cities to prevent tourism crises from occurring and to reasonably improve the resilience of the tourism economic system.
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