中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatiotemporal reconstruction and drivers of tourism-oriented towns: A case study of Jinshitan

文献类型:期刊论文

作者Song, Chunrui1; Yang, Jun1,2,3; Wang, Ling-en4; Li, Yutong5; Zhi, Yin6; Xia, Jianhong (Cecilia)7
刊名FRONTIERS IN ENVIRONMENTAL SCIENCE
出版日期2022-09-16
卷号10页码:15
关键词tourism urbanization spatial reconstruction sustainable development human-land relationship jinshitan
DOI10.3389/fenvs.2022.1013908
通讯作者Yang, Jun(yangjun8@mail.neu.edu.cn) ; Wang, Ling-en(wangle@igsnrr.ac.cn) ; Li, Yutong(dearliyutong@163.com)
英文摘要Reconstruction of settlement spaces is the process of optimizing and reorganizing the internal resources of a settlement, which is of great significance to settlement development. In this study, we used the land-use transfer matrix, land-use dynamics, building density, mean building height, and plot ratio in four time series to explore Jinshitan 2-dimensional and 3-dimensional space, production space reconstruction and its drivers. The conclusions were as follows: 1) 82.288% of cultivated land that was lost during the study period was transformed as construction land, which was concentrated in patches; 2) showed a high degree of consistency in terms of building density, mean building height, and floor area ratio; 3) domestic tourists accounted for the majority of tourism, and the population structure exhibited a non-agricultural transformation; and 4) the spatial reconstruction of Jinshitan has benefited from natural resource endowment, government policy guidance, market orientation, and participation of social subjects. This study suggests that Jinshitan should focus on protecting the natural environment and strengthening humanistic care in the future, and hopes to provide reference for the urbanization development of other tourism-oriented settlements.
WOS关键词RURAL SETTLEMENTS ; LAND-USE ; CHINA ; URBANIZATION ; PROVINCE ; AREAS ; EVOLUTION ; PATTERNS ; VILLAGES ; URBAN
资助项目National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities[41771178] ; Fundamental Research Funds for the Central Universities[42030409] ; Basic Scientific Research Project (Key Project) of the Education Department of Liaoning Province[N2111003] ; Natural Science Foundation of Guizhou Province[LJKZ0964] ; Second Tibetan Plateau Scientific Expedition and Research Program (STEP)[[2019]1150] ; [2019QZKK1004]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000862681100001
出版者FRONTIERS MEDIA SA
资助机构National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities ; Basic Scientific Research Project (Key Project) of the Education Department of Liaoning Province ; Natural Science Foundation of Guizhou Province ; Second Tibetan Plateau Scientific Expedition and Research Program (STEP)
源URL[http://ir.igsnrr.ac.cn/handle/311030/185118]  
专题中国科学院地理科学与资源研究所
通讯作者Yang, Jun; Wang, Ling-en; Li, Yutong
作者单位1.Liaoning Normal Univ, Human Settlements Res Ctr, Dalian, Peoples R China
2.Northeastern Univ, Sch Humanities & Law, Shenyang, Peoples R China
3.Northeastern Univ, Jangho Architecture Coll, Shenyang, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
5.Liaoning Normal Univ, Sch Psychol, Dalian, Peoples R China
6.Shaanxi Normal Univ, Northwest Inst Hist Environm & Socio Econ Dev, Xian, Peoples R China
7.Curtin Univ, Sch Earth & Planetary Sci EPS, Perth, WA, Australia
推荐引用方式
GB/T 7714
Song, Chunrui,Yang, Jun,Wang, Ling-en,et al. Spatiotemporal reconstruction and drivers of tourism-oriented towns: A case study of Jinshitan[J]. FRONTIERS IN ENVIRONMENTAL SCIENCE,2022,10:15.
APA Song, Chunrui,Yang, Jun,Wang, Ling-en,Li, Yutong,Zhi, Yin,&Xia, Jianhong .(2022).Spatiotemporal reconstruction and drivers of tourism-oriented towns: A case study of Jinshitan.FRONTIERS IN ENVIRONMENTAL SCIENCE,10,15.
MLA Song, Chunrui,et al."Spatiotemporal reconstruction and drivers of tourism-oriented towns: A case study of Jinshitan".FRONTIERS IN ENVIRONMENTAL SCIENCE 10(2022):15.

入库方式: OAI收割

来源:地理科学与资源研究所

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