摘要:
Abstract: 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. Keywords: resource and environment carrying capacity; ecologically fragile areas; grey relational projection method; BP neural network
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
关键词:
tourist flows;network structure;evolution
摘要:
Abstract: 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. Keywords: tourist flows; network structure; evolution
期刊:
International Journal of Environmental Research and Public Health,2023年20(4) ISSN:1661-7827
通讯作者:
Fen Luo
作者机构:
[Zhijun Xiao; Haiqian Lei; Chen Wang] College of Tourism, Central South University of Forestry & Technology, Changsha 410004, China
摘要:
Abstract: The forest-landscape image is the bridge for communication between human beings and the forest. The aim of this paper is to construct the landscape-image conceptual model from the personal perception of the forest, with what people are looking at and how they are viewing themselves as a part of the forest. This research constructed a forest-landscape image by young adults by utilizing the landscape-image-sketching technique and selecting 140 young adults who had lived in Changsha, Central China for ten years, using convenience sampling, during April and May 2018. The results demonstrated that the forest was considered as the people’s life world, as rural scenery around the respondents’ homes, instead of the perception of the objective forest, an important habitat for animals and a limited resource supplier for human living. In fact, the natural values of the forest, such as the ecological and aesthetic values, received more attention than the social ones of the forest, including the life, production, and cultural values. Finally, it is important to raise the public’s awareness of the objective entity of the forest and to guide the variety of experiences for the respondents in the forest. Keywords: forest perception; landscape image; conceptual model; Central China
作者机构:
[Zhong, Yongde; Xiao, Qiong] Cent South Univ Forestry & Technol, Tourism Coll, Changsha 410004, Peoples R China.;[Zhong, Yongde] Natl Forestry & Grassland Adm, State Forestry Adm Engn Res Ctr Forest Tourism, Changsha 410004, Peoples R China.;[Deng, Jinyang] West Virginia Univ, Sch Nat Resources, Morgantown, WV 26506 USA.
通讯机构:
[Yongde Zhong] T;Tourism College, Central South University of Forestry and Technology, Changsha 410004, China<&wdkj&>State Forestry Administration Engineering Research Center for Forest Tourism, National Forestry and Grassland Administration, Changsha 410004, China
摘要:
This study aims to provide a scientific basis to address the strategies for sustainable development of urban tourism industry. By using the Life Cycle Assessment method, it decomposes tourism activities into seven different functional units (different tourism activities)-transportation, catering, accommodation, sightseeing, shopping, entertainment and waste disposal-based on the expression of services provided by tourism activities, and determine the boundary range of each different functional unit in terms of the pathways and the functional orientation of the products (resources and energy) provided by the services of each functional unit. A "bottom-up" model is then constructed to measure the carbon footprint of tourism. Based on data collected from various sources for the period 2014-2019, it compares the composition and differences of domestic and international tourists' carbon footprints in Chenzhou City, one of inland mountainous regions of central China, through several steps, including target and scope definition, inventory analysis, impact evaluation and life cycle interpretation. Results show that domestic tourists contributed more than 90% of the total annual carbon footprints to the city, ranging from 76.8809 x 10(6) kg to 194.6067 x 10(6) kg. Transportation is the dominant category, accounting for over 80% of the total carbon footprints. The study suggests that optimizing tourism resources, reducing transportation distances, and switching to low-carbon modes can effectively reduce the tourism carbon footprints in Chenzhou and similar regions. This study reveals the structural characteristics of the tourism carbon footprint and its influencing factors and provides valuable insights for policy development involving energy saving and low carbon tourism, thus enhancing the long-term sustainability of tourism development in an urban tourism destination like Chenzhou.
作者机构:
. College of Tourism, Central South University of Forestry and Technology, Changsha 410004, China;. College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China;First author: Zhu Anni, E-mail:1016143043@qq.com;[朱安妮] . College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China <&wdkj&>First author: Zhu Anni, E-mail:1016143043@qq.com ;[钟永德] . College of Tourism, Central South University of Forestry and Technology, Changsha 410004, China
通讯机构:
[Zhu Anni; Zhong Yongde] .;. College of Tourism, Central South University of Forestry and Technology, Changsha 410004, China <&wdkj&>. College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China <&wdkj&>First author: Zhu Anni, E-mail:1016143043@qq.com
摘要:
This study analyzed the changes in ecotourism flow in Hunan Province before and after the COVID-19 epidemic by obtaining the ecotourism route data for 2019 and 2020 from online tourism platforms such as wasp nest,poor travel,Ctrip,tuniu and qunar,and determining geograp...MORE This study analyzed the changes in ecotourism flow in Hunan Province before and after the COVID-19 epidemic by obtaining the ecotourism route data for 2019 and 2020 from online tourism platforms such as wasp nest,poor travel,Ctrip,tuniu and qunar,and determining geographical distribution characteristics,node characteristics and network characteristics with the help of software such as UCINET,Netdraw and ArcGIS.The results revealed major changes in spatial distribution,the roles of nodes,and the structure and composition of the flow network.(1)COVID-19 has changed the spatial distribution pattern of ecotourism flows in Hunan Province.Under the influence of the epidemic,the spatial geographical concentration trend in Hunan Province decreased from 30.42 in 2019 to 28.94 in 2020,the flow in the North weakened,and the hot spots shifted to the south.In order to promote the development of global tourism in Hunan Province,we should focus on how to correctly handle the differences in tourism resources and the imbalance in tourism development between the Xiangxi region and other tourism regions.(2)The COVID-19 epidemic triggered changes of the roles of some nodes in the ecotourism flow network in Hunan Province.The comprehensive efficiency value of the node decreased from 266 to 222,indicating that crisis events such as the epidemic have caused damage to the ecotourism flow in Hunan Province,and the surrounding low-density ecotourism sites with good natural scenery have become more favored by tourists after the COVID-19 epidemic.(3)The COVID-19 situation has affected the structure and composition of the ecotourism flow network in Hunan Province.The overall network density of ecotourism flow in Hunan Province increased from 0.18 to 0.14,the degree of separation between ecotourism destinations increased,and tourists’demand for health and safety has driven the development of ecotourism flow in Hunan Province towards multinode and multiregional characteristics.FEWER
期刊:
Environmental Science and Pollution Research,2023年30(58):121713-121733 ISSN:0944-1344
通讯作者:
Haiqin Shao
作者机构:
[Zhaofeng Wang] College of Tourism, Hunan Normal University, Changsha, 410081, China;[Haiqin Shao] College of Tourism, Central South University of Forestry and Technology, Changsha, 410004, China. t20232802@csuft.edu.cn
通讯机构:
[Haiqin Shao] C;College of Tourism, Central South University of Forestry and Technology, Changsha, China
关键词:
Carbon emission efficiency;Influencing factors;Spatiotemporal differences;Yangtze River Economic Belt;fsQCA
摘要:
Improving urban carbon emission efficiency (CEE) is vital to achieving the goal of urban carbon neutrality. However, the synergistic configurational effect of multiple influencing factors on CEE is not clear. Taking the Yangtze River Economic Belt (YREB) as an example, this paper adopts the standard deviation ellipse and Dagum Gini coefficient method to investigate the spatiotemporal differences in urban CEE in the YREB, and using the fuzzy-set qualitative comparative analysis (fsQCA) method, it explores the configurational effect of CEE influencing factors from the system perspective. The main conclusions are as follows: first, the overall level of urban CEE in the YREB is low, with a certain polarization phenomenon. Second, the relative differences in urban CEE in the YREB show a fluctuating upward trend, and the regional differences mainly originate from the overlapping part between regions. Finally, the main CEE influencing factors do not act in isolation, they constitute a complex process of synergistic interaction, with complementary substitution and causal asymmetry.