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Assessing recreation services for heritage resources in scenic areas based on behavioral semantic perspective

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成果类型:
期刊论文
作者:
Li, Yurou;Liao, Qiulin;Wang, Weiwei*;Shen, Shouyun;Cao, Yuchi;...
通讯作者:
Wang, Weiwei;Shen, SY
作者机构:
[Cao, Yuchi; Wang, Weiwei; Li, Yurou; Shen, Shouyun; Chen, Jiaao; Liao, Qiulin] Cent South Univ Forestry & Technol, Coll Landscape Architecture, Changsha, Hunan, Peoples R China.
[Cao, Yuchi; Wang, Weiwei; Li, Yurou; Shen, Shouyun; Chen, Jiaao; Liao, Qiulin] Natl Long Term Res Base Landscape Architecture Qin, Nanning, Guangxi, Peoples R China.
[Cao, Yuchi; Wang, Weiwei; Li, Yurou; Shen, Shouyun; Chen, Jiaao; Liao, Qiulin] Hunan Prov Ctr Big Data Engn Technol Res Nat Conse, Changsha, Hunan, Peoples R China.
[Cao, Yuchi; Wang, Weiwei; Li, Yurou; Shen, Shouyun; Chen, Jiaao; Liao, Qiulin] Cent South Univ Forestry & Technol, Inst Human Settlements & Green Infrastruct, Changsha, Hunan, Peoples R China.
通讯机构:
[Wang, WW; Shen, SY ] C
Cent South Univ Forestry & Technol, Coll Landscape Architecture, Changsha, Hunan, Peoples R China.
Natl Long Term Res Base Landscape Architecture Qin, Nanning, Guangxi, Peoples R China.
Hunan Prov Ctr Big Data Engn Technol Res Nat Conse, Changsha, Hunan, Peoples R China.
Cent South Univ Forestry & Technol, Inst Human Settlements & Green Infrastruct, Changsha, Hunan, Peoples R China.
语种:
英文
期刊:
NPJ HERITAGE SCIENCE
ISSN:
3059-3220
年:
2025
卷:
13
期:
1
基金类别:
Hunan Provincial Innovation Foundation for Postgraduate [CX20230766]; Hunan Provincial Innovation Foundation for Postgraduate [21YBA098]; Philosophy and Social Science Foundation of Hunan Province [2024YFD2200900]; National Key Research and Development Program of China
机构署名:
本校为第一且通讯机构
院系归属:
风景园林学院
摘要:
Recreation service (RS) in heritage-based tourism is crucial for redefining the value of heritage resources. Yet, existing studies often neglect public perception-driven RS variation, limiting the future functionality of the scenic areas and the heritage resource valorization. Taking scenic areas in Hunan province, China, as a case study, we developed an RS assessment framework based on big data to evaluate RS and the comprehensive recreation service index, followed by K-means clustering for scenic area zoning. Key RS determinants were identifi...

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