Abstract

The scientific evaluation of tourism resources provides the basic conditions for the rational development and utilization of tourism resources, which is significant for the sustainable development of tourism. On the basis of obtaining a large sample of tourism resource data, this study constructed an evaluation index system of regional tourism resources from four aspects: quantity, type, grade, and a combination of regional tourism resources, taking the township scale as the spatial evaluation unit. The combination weighting method was used to evaluate the grade of tourism resources in each township, and the hierarchical clustering method and spatial autocorrelation method were used to analyze the spatial patterns of the tourism resource values. On the basis of the evaluation’s results and spatial pattern analysis, this paper analyzed the influencing factors of tourism resource patterns and puts forward a tourism development model suitable for Hainan tourism development. The results showed that the overall value of tourism resources on Hainan Island was low, and the spatial pattern was obviously different, showing that the northern piedmont plain area was higher than the southern hilly area, and the east coast area was higher than the west coast area. Based on the analysis of quantity density, type abundance, grade advantage, and spatial combination, the tourism resource values of Hainan Island was divided into four combination areas: the first area was diversity and good combination, the second area was large quantity and good combination, the third area was diversity and high-quality resources, and the fourth area was large quantity. In addition, from the analysis of the spatial agglomeration effect, the phenomena of high and low agglomerations of tourism resource values were obvious. Finally, this paper puts forward a tourism development model for Hainan Island by grading, classification, and zoning. The results of this study can determine the time sequence and mode of regional tourism resources development and provide spatial implications and suggestions for regional tourism planning and management.

Highlights

  • The 2019 World Island Tourism Development Report revealed that the global tourism industry continues to grow and that island tourism is an important aspect of it [1]

  • The gap in tourism development levels between the east and west coasts of Hainan Province is widening, which leads to the Matthew effect in regional tourism development

  • The Matthew effect leads to a development gap between active and lagging areas of tourism development in the region, which, in turn, means local governments are treated differently in terms of policy and resource enjoyment, and cross-regional enterprises cannot have an equal dialogue

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Summary

Introduction

The 2019 World Island Tourism Development Report revealed that the global tourism industry continues to grow and that island tourism is an important aspect of it [1]. Tourism development is an important method for local governments to develop the local economy, but it is necessary to attract tourists according to the corresponding basic conditions For those regions with competitive conditions in the process of regional tourism development, the largest problem lies in how to transform their relative resource advantages into competitive advantages, and the introduction of the concept of industrial clusters will help to promote this process [34]. By constructing a Hainan Island tourism resources spatial database, taking the township scale as the evaluation unit, the value index system of township tourism resources was constructed from four aspects: quantity, type, quality, and spatial combination. On the basis of the evaluation’s results, using hierarchical clustering analysis and spatial autocorrelation analysis, this paper analyzed the spatial pattern and influencing factors of tourism resource values and puts forward a tourism development model of Hainan Island, providing a reference for regional tourism development and management

Research region
Data sources and preparation
Tourism resources value indicator system development
Evaluation method for tourism resource values
Combination weighting method
Hierarchical clustering analysis
Spatial autocorrelation analysis
The value grade distribution of tourism resources
The value combination distribution of tourism resources
The value agglomeration distribution of tourism resources
Factors influencing the spatial pattern of tourism resources values
Classified development mode
Zoned development mode
Conclusions
Discussion
Full Text
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