On Sustainable Development of Rural Tourism in Jiangxi Province from the Perspective of All-for-one Tourism

Xiong, Bojian; Xiao-yun, Zhong; He, Jianbo

doi:10.1088/1755-1315/651/3/032109

Cited by 4 publications

(2 citation statements)

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“…With the continuous and rapid development of the tourism industry, many problems appear due to carbon emissions, and they include climate warming and the shortening of winter snowfall time, which make all kinds of snow-related projects rely on artificial snow technology. Therefore, the carbon emissions of the tourism industry need to be paid attention to, and the reduction in carbon dioxide emissions through LCT is also a necessary trend [29].…”

Section: Air Freight Accommodation Industrymentioning

confidence: 99%

Geographic Information Visualization and Sustainable Development of Low-Carbon Rural Slow Tourism under Artificial Intelligence

Jiang

Gao

et al. 2023

Sustainability

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This study conducts in-depth research on geographic information visualization and the sustainable development of low-carbon rural slow tourism under artificial intelligence (AI) to analyze and discuss the visualization of geographic information and the sustainable development of low-carbon slow tourism in rural areas. First, the development options related to low-carbon tourism in rural areas are discussed. Then, a low-carbon rural slow tourism recommendation method based on AI and a low-carbon rural tourism scene recognition method based on Cross-Media Retrieval (CMR) data are proposed. Finally, the proposed scheme is tested. The test results show that the carbon dioxide emissions of one-day tourism projects account for less than 10% of the total tourism industry. From the proportion, it is found that air transport accounts for the largest proportion, more than 40%. With the development of time, the number of rural slow tourists in Guizhou has increased the most, while the number of rural slow tourists in Yunnan has increased to a lesser extent. In the K-means clustering model, the accuracy of scenario classification based on the semantic features of scene attributes is 5.26% higher than that of attribute likelihood vectors. On the Support Vector Machine classifier, the scene classification accuracy based on the semantic features of scene attributes is 19.2% higher than that of the scene classification based on attribute likelihood vector features. CMR techniques have also played a satisfying role in identifying rural tourism scenarios. They enable passengers to quickly identify tourist attractions to save preparation time and provide more flexible time for the tour process. The research results have made certain contributions to the sustainable development of low-carbon rural slow tourism.

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Section: Air Freight Accommodation Industrymentioning

confidence: 99%

Geographic Information Visualization and Sustainable Development of Low-Carbon Rural Slow Tourism under Artificial Intelligence

Jiang

Gao

et al. 2023

Sustainability

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“…), according to the principle of maximum subordination, the comprehensive decision on the matter is b k [13,14]. e fuzzy multiobjective decisionmaking system composed of fuzzy transformation T R as the converter is shown in Figure 3.…”

Section: Mathematical Model Of One-level Fuzzy Multiobjective Decisionmentioning

confidence: 99%

Study on the Development Model of the Combination of “Third-Tier” Industrial Heritage and Rural Tourism under the Concept of Urban Image

Yang

2022

Scientific Programming

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In order to pay attention to the protection of the third tier industrial heritage, this paper puts forward the protection measures of combining the third tier industrial heritage with tourism based on the concept of urban image. The tourism value of the tertiary industrial heritage is evaluated by using the comprehensive evaluation method. Through the analysis of the tourism value evaluation system combining the three-level industrial heritage and rural tourism in a certain city, the following conclusions are drawn. In the comprehensive evaluation layer, the value of the third tier industrial heritage accounts for the largest weight of 0.5581, indicating that the third tier industrial heritage resources occupy an important position in the third tier industrial heritage tourism value system. Tourism development conditions also account for a large proportion, which explains that while adhering to the principle of third tier industrial heritage protection, we should pay attention to the consideration of tourism development conditions. It once again emphasizes the importance of the third tier industrial heritage for the development of industrial heritage tourism and the significance of the protection of the third tier industrial heritage for tourism development. In the three-level evaluation layer of industrial heritage and rural tourism, the historical and cultural value and social and cultural value have the largest weight. They are the leading factor of the combined value of tertiary industrial heritage and rural tourism. Historical and cultural value is one of the important meanings of three-level industrial heritage protection and also the essence of the combined development of third-level industrial heritage tourism and rural tourism. Social value determines the recognition of tourists and people to participate in the development of tourism. In the evaluation layer of tourism development conditions, the development potential is particularly prominent. The development potential is the characteristic of the third tier industrial heritage tourism of a city. The development of the third tier industrial heritage tourism of a city must be combined with the local characteristics to highlight the differences.

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Assessing the coupling coordination degree between all-for-one tourism and ecological civilization; case of Guizhou, China

Kumar

et al. 2023

Environmental and Sustainability Indicators

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On Sustainable Development of Rural Tourism in Jiangxi Province from the Perspective of All-for-one Tourism

Cited by 4 publications

References 0 publications

Geographic Information Visualization and Sustainable Development of Low-Carbon Rural Slow Tourism under Artificial Intelligence

Geographic Information Visualization and Sustainable Development of Low-Carbon Rural Slow Tourism under Artificial Intelligence

Study on the Development Model of the Combination of “Third-Tier” Industrial Heritage and Rural Tourism under the Concept of Urban Image

Assessing the coupling coordination degree between all-for-one tourism and ecological civilization; case of Guizhou, China

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