Review of Research on Characteristic Tourism Resources Exploitation in Sichuan Province

Qiong-ying, Liu

doi:10.5814/j.issn.1674-764x.2018.05.003

Cited by 3 publications

(3 citation statements)

References 1 publication

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“…Ashok et al's research survey claimed that ESM models of ecotourism sustainability using qualitative and quantitative techniques provide a recipe for ecotourism to achieve sustainability goals at the operational level [8]. Qiongying indicated that in the future, tourism theories such as the space competition theory, the RMP analysis theory, and the cultural ecology theory should be closely integrated with eco-sustainable tourism [9]. Lalicic and Dickinger pointed out that Web 2.0 no-code interface and mobile computing platform can reshape marketing practice and tourism behavior in the tourism field, tourists can create content creatively and share it with their peers [10].…”

Section: Related Workmentioning

confidence: 99%

Construction of Integrated Platform for Eco-Sustainable Tourism and Marketing in Southeast Asia Based on Machine Learning

Chen

Tseng

2022

International Transactions on Electrical Energy Systems

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Southeast Asia is one of the most popular tourist destinations in the world, and its tourism model is mainly based on ecological and sustainable tourism characteristics. It is a special practical exploration of this region. However, with the rapid development of the tourism industry, the structural contradictions in the tourism industry have become increasingly prominent, coupled with the weak link of tourism development, making the development of tourism unbalanced. Therefore, this study proposed a platform-related algorithm based on machine learning to build the integration of eco-sustainable tourism and marketing in Southeast Asia and used a collaborative filtering algorithm and a route generation algorithm to recommend information or predict specific needs for specific tourists. The experimental results of this study showed that the difference between different loss functions of the improved transfer algorithm based on machine learning is not significant, which indicated that the method proposed in this study is robust to the choice of a loss function. Compared with the hinge loss function and the logarithmic loss function, the exponential loss function has the highest average classification accuracy of 0.91, of which the average accuracy of the logarithmic loss function is 0.85, and the average classification accuracy of the hinge loss function is 0.79. Therefore, applying the migration algorithm to the architecture of the platform is conducive to the stability of the dataset and to the better display of pages for tourists.

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Section: Related Workmentioning

confidence: 99%

Construction of Integrated Platform for Eco-Sustainable Tourism and Marketing in Southeast Asia Based on Machine Learning

Chen

Tseng

2022

International Transactions on Electrical Energy Systems

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“…Previous research on tourism culture has primarily focused on these categories, tourism culture consists of material, institutional, behavioural and spiritual culture, with spiritual culture as its core. From the perspective of tourism value, tourism culture can be divided into landscape culture, settlement culture, architectural culture and folk culture (Stoddart and Graham, 2016; Liu, 2018). Some scholars also classify it into material, spiritual and institutional categories.…”

Section: Introductionmentioning

confidence: 99%

How “cultural reshaping” affects rural tourism development in China - a case from zhejiang beautiful countryside demonstration area

2022

Tourism and Hospitality Research

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A number of studies have been carried out on the importance and connotation of tourism culture. However, from the literature study of tourism culture, it is found that there is still a gap between the remolding of tourism culture and the development of tourism enterprises in the digital era. This study aims to identify the enterprise clustering effect and employment benefit of rural tourism culture reshaping. By empirical research, this study establishes a new conceptual research framework for rural tourism sustainability to cover the gap between the cultural reshaping and enterprise development for rural tourism in Zhejiang. We began with investigation to villagers on their acceptance of reshaped tourism culture. Through interviews with entrepreneurs, this study investigates the relationship between tourism cultural reshaping and tourism enterprise image. An enterprise network of regional tourism cultural IP image has been established to describe the density among the whole tourism cultural industry. The location entropy index is adopted to show the employment in tourism enterprises. This index reflects residents’ acceptance of the reshaped cultural image as a key influencing factor of enterprises’ sustainable development. Furthermore, it is found that tourism cultural reshaping is a significant base for rural tourism industry clustering. The research results suggest that tourism corporation can contribute to the local tourism economy by reshaping culture.

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“…e networking of tourism spatial structure of hot spring landscape refers to the process that the spatial structure of regional tourism is formed by taking the hot spring landscape as the tourism node and various transportation routes as the tourism channel evolves continuously under the interaction of tourism and finally reaches the network complex [7]. An accurate and objective quantitative evaluation of hot spring landscape resources is helpful to understand the value of hot spring landscape resources, has great practical significance for the deep protection, exploitation, and utilization of these landscape resources, and is also an important basis for hot spring resource exploitation planning [8].…”

Section: Introductionmentioning

confidence: 99%

A Model and Its Application of Quantitative Evaluation for Exploitable Value of Hot Spring Landscape Resources

Zhang

2022

Mathematical Problems in Engineering

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The accurate and objective quantitative evaluation of hot spring landscape resources is helpful to understand the value of the resources, has great practical significance for their protection, exploitation, and utilization, and is also an important basis for the exploitation and planning of the hot spring resources. On the basis of summarizing and analyzing previous research works, this study expounded the research status and significance of the exploitation of spring landscape resources, elaborated the development, background, current status, and future challenges of the quantitative evaluation of landscape resources’ exploitable value, introduced the methods and principles of analytic hierarchy process and fuzzy synthesis process, formulated the evaluation index scoring standards for the exploitable value of hot spring landscape resources, analyzed the grading standard of comprehensive evaluation value, conducted the process analysis of quantitative evaluation of the exploitable value of hot spring landscape resources, established the evaluation index system of the exploitable value of hot spring landscape resources, determined evaluation index weight coefficient, constructed a quantitative evaluation model of the exploitable value of hot spring landscape resources, and finally carried out a case application and its result analysis by taking Chicheng Hot Spring in Chicheng County, Hebei Province, northern China as an example. The study results show that the three categories of factor weights in the subobjective layer of comprehensive evaluation system of hot spring landscape resources are landscape resource quality, environmental conditions, and resource exploitation and construction conditions. The purpose of quantitative evaluation of hot spring landscape resources is to use mathematical methods to quantify the fuzzy attributes of landscape resources so that some vague evaluations become relatively accurate, thereby improving the objectivity and reliability of evaluation results. Therefore, the establishment of a tourism preference index based on the hot spring tourism market and the subjective will of tourists as the evaluation standard has played a role in market restrictions, combining the evaluation of hot spring tourism resources with the dynamics and trends of the hot spring tourism market, and establishing comprehensive evaluation system of hot spring landscape resources. Those results of this study are expected to provide a reference for further research on the quantitative evaluation model for exploitable value of hot spring landscape resources.

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Review of Research on Characteristic Tourism Resources Exploitation in Sichuan Province

Cited by 3 publications

References 1 publication

Construction of Integrated Platform for Eco-Sustainable Tourism and Marketing in Southeast Asia Based on Machine Learning

Construction of Integrated Platform for Eco-Sustainable Tourism and Marketing in Southeast Asia Based on Machine Learning

How “cultural reshaping” affects rural tourism development in China - a case from zhejiang beautiful countryside demonstration area

A Model and Its Application of Quantitative Evaluation for Exploitable Value of Hot Spring Landscape Resources

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