An estimation and development model of tourism resource values at the township scale on Hainan Island, China
文献类型：期刊论文
| 作者 | Zhang, Tongyan1; Wang, Yingjie2,3; Zhang, Shengrui1; Wang, Yingying4 |
| 刊名 | PLOS ONE
 |
| 出版日期 | 2022-01-24 |
| 卷号 | 17期号:1页码:23 |
| ISSN号 | 1932-6203 |
| DOI | 10.1371/journal.pone.0262837 |
| 通讯作者 | Zhang, Shengrui(zhangshengrui@ouc.edu.cn) |
| 英文摘要 | 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. |
| WOS关键词 | REGIONAL TOURISM |
| 资助项目 | Youth Program of National Natural Science Foundation of China[42001243] ; Humanities and Social Science Project of the Ministry of Education of China[20YJC630212] ; Youth Program of Natural Science Foundation of Shandong Province[ZR2020QD008] |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:000773223800043 |
| 出版者 | PUBLIC LIBRARY SCIENCE |
| 资助机构 | Youth Program of National Natural Science Foundation of China ; Humanities and Social Science Project of the Ministry of Education of China ; Youth Program of Natural Science Foundation of Shandong Province |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/173126]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Shengrui |
| 作者单位 | 1.Ocean Univ China, Coll Management, Qingdao, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.Shandong Agr Univ, Coll Resources & Environm, Tai An, Shandong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Tongyan,Wang, Yingjie,Zhang, Shengrui,et al. An estimation and development model of tourism resource values at the township scale on Hainan Island, China[J]. PLOS ONE,2022,17(1):23. |
| APA | Zhang, Tongyan,Wang, Yingjie,Zhang, Shengrui,&Wang, Yingying.(2022).An estimation and development model of tourism resource values at the township scale on Hainan Island, China.PLOS ONE,17(1),23. |
| MLA | Zhang, Tongyan,et al."An estimation and development model of tourism resource values at the township scale on Hainan Island, China".PLOS ONE 17.1(2022):23. |
入库方式： OAI收割
来源：地理科学与资源研究所
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