摘要：
<jats:p>Aesthetic expectations often constitute the primary focus in marketing nature-based tourist destinations. However, academic research has insufficiently explored the disparity between tourists’ aesthetic expectations and the actual aesthetic quality maintenance in shaping satisfaction. Employing the Expectation Confirmation Theory, this study utilized structural equation modeling techniques to analyze survey data (n = 446). It proposed and tested an Aesthetic Expectation Confirmation Model to examine the relationship between aesthetic expectations, experiential qualities, and tourist satisfaction in the Zhangjiajie National Forest Park. The empirical findings show that aesthetic expectations have a direct, negative impact on satisfaction, while aesthetic expectation confirmation has a positive direct impact on satisfaction. Moreover, aesthetic expectation confirmation also plays a mediating role in the influence of aesthetic expectations and experiential quality on satisfaction. Specifically, aesthetic expectations indirectly impact satisfaction negatively through aesthetic expectation confirmation, whereas aesthetic experiential qualities have a positive, indirect impact on satisfaction through the same process. These findings offer theoretical contributions to the literature on forest recreation aesthetics and hold practical significance for the planning and management of destination aesthetics.</jats:p>
期刊：
Sustainable Cities and Society,2024年103:105248 ISSN：2210-6707
通讯作者：
Shao, HQ
作者机构：
[Wang, Zhaofeng] Hunan Normal Univ, Dept Tourism, Changsha 410081, Peoples R China.;[Shao, Haiqin] Cent South Univ Forestry & Technol, Dept Tourism, Changsha 410004, Peoples R China.;[Shao, Haiqin] Cent South Univ Forestry & Technol, Dept Tourism, 498 Shaoshan South Rd, Changsha, Hunan, Peoples R China.
通讯机构：
[Shao, HQ ] C;Cent South Univ Forestry & Technol, Dept Tourism, Changsha 410004, Peoples R China.;Cent South Univ Forestry & Technol, Dept Tourism, 498 Shaoshan South Rd, Changsha, Hunan, Peoples R China.
关键词：
Carbon emission efficiency;Spatiotemporal interaction;Exploratory spatiotemporal data analysis;Multiscale geographically weighted regression;Yangtze River Economic Belt
摘要：
Exploring the spatiotemporal evolution and influencing factors of carbon emission efficiency (CEE) is crucial for achieving the goal of urban carbon neutrality. However, most of the existing studies ignore the temporal dependence of the spatial pattern evolution of CEE and the scale variability of the factors influencing CEE. With the help of an exploratory spatiotemporal data analysis framework, this paper examined the spatiotemporal interactions of CEE across 110 cities in the Yangtze River Economic Belt (YREB). In addition, a multiscale geographically weighted regression model was employed to reveal the scale effects of influencing factors on CEE. The main conclusions are as follows: first, the CEE of cities in the YREB shows a fluctuating upward trend, but the overall level is still low, and a certain polarization phenomenon exists. Second, the spatial pattern of the CEE of cities in the YREB is generally relatively stable, with strong spatial integration and path dependence. Finally, the factors influencing CEE exhibit obvious scale variability and spatial heterogeneity. Our findings can provide a basis for localized and differentiated carbon emission reduction decision-making at the city level, as well as new insights for the formulation of sustainable urban spatial planning and low-carbon development strategies.
作者机构：
[Zhang, ShuangQuan; Yang, Hui; Zhang, SQ] Cent South Univ Forestry & Technol, Coll Tourism, Changsha, Peoples R China.
通讯机构：
[Zhang, SQ ] C;Cent South Univ Forestry & Technol, Coll Tourism, Changsha, Peoples R China.
摘要：
Previous studies on environmental restorative effects have mainly focused on visual landscapes, and less on the influence of soundscapes on restorative, but soundscapes play a crucial role in restorative environments, especially rural soundscapes, but there is insufficient existing theoretical evidence on the subject. Therefore, this study aims to investigate the influence of Rural Soundscape Perception on Environmental Restoration Perception, and introduces two affective variables, tourism nostalgia and place attachment, to explore the mechanism of Rural Soundscape Perception on Environmental Restoration Perception, as well as the moderating role of the number of trips is also discussed. Based on the theory of restorative environment, this study took the Taohuayuan Scenic Spot in Changde, Hunan Province, China, as the case site, and selected the rural soundscape in the area as the research object; a total of 506 valid data were collected through questionnaire surveys, and structural equation modeling was used to validate the collected data. It was found that rural soundscape perception had a significant positive effect on tourism nostalgia, place attachment, and environmental restoration perception. The results also showed that tourism nostalgia and place attachment mediated the relationship between rural soundscape perception and environmental restoration perception. Additionally, the results revealed that the number of trips did not play a moderating role in the structural relationship between rural soundscape perception and environmental restoration perception. Last, the results of the study shed light on the complex influence path of "rural soundscape perception→tourism nostalgia→place attachment→environmental restoration perception", which provides a new perspective for understanding the mechanism of the rural environment to people's health, and also has a certain guiding significance for the landscape planning of rural tourism sites.
摘要：
通过对比分析国内外农旅融合的研究差异,为中国农旅融合研究与实践提供指导借鉴。选取Web of Science和CNKI作为数据来源,对1993—2022年国内外农旅融合文献,运用CiteSpace软件,从文献基本特征、研...展开更多 通过对比分析国内外农旅融合的研究差异,为中国农旅融合研究与实践提供指导借鉴。选取Web of Science和CNKI作为数据来源,对1993—2022年国内外农旅融合文献,运用CiteSpace软件,从文献基本特征、研究热点与内容等进行对比分析。结果显示:文献数量均呈上升趋势,2020年以来国外超国内;研究学科均呈系统性、综合性特点;国外团队合作较密切,国内少量集中、整体分散;国外以多功能农业、乡村社区旅游与美食烹饪等内容为主,国内从产业关联到农、文旅融合再多业态融合研究,与政策引导有关;国外从社区向整体性管理保护治理等热点演进,国内则从农融合机制、对策向乡村振兴等演进。基于这些分析,我们得到了应跟踪国际前沿,加强合作与交流;深化研究内容,拓展研究领域;响应国家战略需求,创新本土理论实践的启示。收起
作者机构：
[Liu, Tianzhi] Cent South Univ Forestry & Technol, Coll Forestry, Changsha 410018, Peoples R China.;[He, Jiawen; Luo, Fen] Cent South Univ Forestry & Technol, Coll Tourism, Changsha 410018, Peoples R China.
通讯机构：
[Fen Luo] C;College of Tourism, Central South University of Forestry and Technology, Changsha 410018, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
tourist flows;network structure;evolution
摘要：
<jats:p>Transportation facilitates the flow of tourists generating tourist flows, which produce flow effects on the spatial scale. By analyzing the evolution of tourist flows in Zhangjiajie by various modes of transportation over a long time series, the results show that the degree of development of the destination transportation network affects the dominance of the tourism node. Specifically, in the “train period”, Zhangjiajie, Changsha, Fenghuang, and Jishou core destinations become dominant with the “Matthew Effect”. In the “road period”, Jishou and Mengdonghe destinations decline, with the “Filtering Effect”. In the “high-speed railway period”, Zhangjiajie and Changsha are connected with more distant origins, and the “Diffusion Effect” occurs. It is worth noting that the development of high-speed rail has created a substitution effect for trains over long distances, and self-driving has created a substitution effect for trains over short and medium distances.</jats:p>
摘要：
<jats:p>Ecologically fragile areas in China account for more than half of its land area. Performing early warning assessments and trend analyses of resource and environment carrying capacity in ecologically fragile areas can lay a scientific foundation for ecological conservation in the areas. Based on the connotation of resource and environment carrying capacity, an early warning index system of resource and environment carrying capacity in Altay prefecture was constructed from the three aspects natural resource carrying capacity, eco-environment carrying capacity, and economic and social support capacity. The grey relational projection method model was used to analyze the current alarm situation of the resource and environment carrying capacity in Altay prefecture from 2011 to 2020, and then the back propagation (BP) neural network and a mathematical statistics software were used to predict the evolution of the alarm situation of the resource and environment carrying capacity in Altay prefecture from 2021 to 2025. The results demonstrated that (1) the natural resource carrying capacity subsystem was the main system of the development of the resource and environment carrying capacity in Altay prefecture, and its impact on the resource and environment carrying capacity in Altay prefecture was greater than the eco-environment carrying capacity and economic and social support capacity; (2) the resource and environmental carrying capacity of Altay prefecture showed a slight upward trend from 2011 to 2020, although the range was constrained and the level of warning remained “moderate warning”. A spatial pattern of “weak in the middle, strong in the two poles” was exhibited by the warning scenario about the carrying capacity of each county and city. Except for the warning of Habahe County and Qinghe County, where the warning was slightly worse than that in 2020, the warning of resource and environment carrying capacity in Altay prefecture and other counties and cities would show a trend of fluctuation and decline from 2021 to 2025. However, the degree of alarm did not change substantially and remained at the level of “moderate warning”; (3) the main factors restricting the mitigation of the warning of resource and environment carrying capacity in Altay prefecture included a low soil fertility index, a small total reservoir capacity, low per capita mineral resource reserves, a low water resource development and utilization rate, a low comprehensive utilization rate of industrial solid waste, and a low land output rate.</jats:p>
