作者机构：
[Zhong, Yongde; Li, Sidi] Cent South Univ Forestry & Technol, Sch Tourism, Changsha 410004, Peoples R China.;[Li, Sidi] Cent South Univ Forestry & Technol, Sch Foreign Languages, Changsha 410004, Peoples R China.;[Ren, Teng; Jia, Binbin] Cent South Univ Forestry & Technol, Sch Logist & Transportat, Changsha 410004, Peoples R China.
通讯机构：
[Yongde Zhong] S;School of Tourism, Central South University of Forestry and Technology, Changsha 410004, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
eco-efficiency of tourism;data envelopment analysis;sustainable development of tourism;spatial autocorrelation;spatial spillover effect
作者机构：
[Zeng, Xitong; Zhong, Yongde; Wei, Juan; Tang, Xianglong] College of Forestry, Central South University of Forestry and Technology, Changsha;410000, China;College of Tourism, Central South University of Forestry and Technology, Changsha;National Forestry and Grassland Administration State Forestry Administration Engineering Research Center for Forest Tourism, Changsha;[Yang, Lingfan] Beijing Zoo, Beijing
通讯机构：
[Yongde Zhong] N;National Forestry and Grassland Administration State Forestry Administration Engineering Research Center for Forest Tourism, Changsha 410000, China<&wdkj&>College of Tourism, Central South University of Forestry and Technology, Changsha 410000, China<&wdkj&>College of Forestry, Central South University of Forestry and Technology, Changsha 410000, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
deep learning;deepsentibank;forest landscape;geotagged photos;sentiment analysis
摘要：
以Web of Science和中国知网数据库为文献检索源,利用知识图谱软件Citespace,系统地梳理了国内外文化景观研究的期刊文献,分析了文化景观的研究内涵、阶段、概况以及研究内容和研究方法.结果发现:(1)研究阶段上,相较于国外成熟的体系,我国对于文化景观的研究仍处于发展阶段.(2)研究方法上,国外的研究方法偏于定量研究,国内则更多地以定性研究为主.(3)研究内容上,国外侧重于文化景观变迁、文化景观感知、文化景观价值方面,国内则更为偏向于文化景观遗产相关研究、文化景观规划与设计、地名文化景观相关研究.文化景观保护是国内外学界共同关注的一个研究重点.
期刊：
Wireless Communications and Mobile Computing,2022年2022 ISSN：1530-8669
通讯作者：
Xia, H.
作者机构：
[Ding, Ying] Cent South Univ Forestry & Technol, Forestry Coll, Changsha 410004, Hunan, Peoples R China.;[Tang, Hui; Bai, Zhiyong] Cent South Univ Forestry & Technol, Tourism Coll, Changsha 410004, Hunan, Peoples R China.;[Xia, Hongling] Hunan Urban Construct Coll, Dept Architecture, Xiangtan 411100, Hunan, Peoples R China.
通讯机构：
Department of Architecture, Hunan Urban Construction College, Xiangtan, China
摘要：
Assessing visitor usage and understanding visitor experiences are key components of the sustainable management of the natural environment. In the study of the relationship between people and landscapes, the combination of deep learning and traditional classification is rarely used to study the landscape preferences in the natural environment, and the research perspective of vertical space at altitude is lacking. This article is based on photo data voluntarily uploaded by tourists on the 2bulu outdoor assistant platform. A combination of deep learning and traditional manual classification was used to divide the collected 43234 landscape photos into 9 categories. Then, the time stamp, latitude, longitude, altitude, and other attribute information about the geotagged photos were used to study the specific landscape preferences of the main nature reserves along the Luoxiao Mountain National Forest Trail at different time scales, protected areas, and altitudes. The research results showed that the capture ability of the landscape reduced the representativeness of social media in terms of the preferences of tourists. Roads and identification facilities were particularly preferred by tourists in this subcategory. The preferences for various landscape types exhibited an obvious festival effect, which was affected by the peculiarities of the landscape in a particular season. Spatially, it exhibited an agglomeration pattern characterized by the concentration in the central area and scattering in the northern and southern regions. The preference for landscape types in the southern section was more abundant than that in the northern section, and there were significant differences at different altitudes. Tourism facilities and characters were the most preferred by tourists in each altitude range.
摘要：
The long-term sustainability of China's national parks depends on the appropriate use and management of park resources and the provision of positive experience opportunities for tourists. While past experience, in terms of frequency of visits to the same destination and behavioral intention measured as willingness to revisit/recommend, have been extensively examined in a typical destination loyalty model using structural equation modeling (SEM), past experience with other destinations and willingness to pay (WTP), another form of behavioral intention, have received less attention from researchers. This paper, for the first time, simultaneously examined these two types of past experience and WTP using both second-order and first-order SEMs, based on data collected from two national parks in China. Results show that, while frequency of visits had no significant impacts on attribute satisfaction (AS) nor on overall satisfaction (OS), previous experience with other destinations significantly influenced AS, which, in turn, significantly predicted OS. While OS significantly and consistently predicted visitors' intentions to revisit/recommend for both samples, its impact on WTP was significant for one sample, but not for the other. This suggests that asymmetric beliefs in destination loyalty may exist, depending on how and where behavioral intention was measured. The study endorses norm theory in studying destination satisfaction.
摘要：
良好的生态环境是最公平的公共产品,是最普惠的民生福祉。良好的城市森林环境在个人和社会层面都会带来多种积极效益。因此,城市森林中人与自然互动效益方面的研究越来越受到学者们的关注。文章基于Web of Science核心合集数据库,检索并收集到20多年来城市森林中人与自然互动的981篇相关文献进行分析,构建城市森林中人与自然互动效益影响机制研究的概念框架。主要分析城市森林中人与自然互动的作用过程,即互动动机、互动路径、互动效益及其影响因素四个方面。研究发现:互动动机可总结为亲近自然与放松、个人爱好与交际、情感交流和消磨时间四类;互动路径归纳为间接互动、偶尔互动和有意互动三个层次;互动效益包括心理效益、生理效益、认知效益、社会效益、精神效益和有形效益六个方面,每个方面都有其具体表现;影响城市森林中人与自然互动效益的因素又可概括为与城市森林等自然环境相关的供给端因素和与人们个体相关的需求端因素。文章对未来的城市森林中人与自然互动效益综合性研究进行了展望,提出应在4个方面加强研究:（1）完善城市森林中人与自然互动效益影响机制研究;（2）优化人与自然互动效益研究方法;（3）开展城市森林中人与自然互动效益的时空动态研究;（4）深化城市森林中人与自然互动效益影响因素的研究。
