Application of Ecological Footprint in "Danxia" Tourism——A Case Study of Simeng "Danxia" of Xupu County in Hunan Province of China

Based on the theory and methods of tourism ecological footprint, from the perspective of the general geomorphology of "Danxia", seven sub-models of tourism ecological footprint had been established which were tourism ecological carrying capacity, transport, water, waste, visiting, entertainment and food. By taking "Danxia" in Hunan Province for example, tourism ecological footprint had been calculated and analyzed. Through researches on ecological profit and loss and nontransferable ecological footprint, the fact that eco-tourism development scale was reasonable or not had been judged. The results showed that ecological deficit was 669.05 hm2 and nontransferable ecological footprint was 1,357.88 hm2. Finally, the paper had proposed countermeasures for eco-tourism sustainable development in "Danxia", hoping to provide reference for the sustainable development of regional tourist ecological economy.

Dynamic Study on Tourism Carbon Footprint and Carbon Carrying Capacity in Sichuan Province

Tourism carbon emission is one of the important factors affecting ecological environment. In order to clarify the trend and changing characteristics of tourism carbon emissions, academia has carried out quantitative research on tourism carbon footprint. Based on the theory of carbon footprint, this study analyzes the tourism carbon emissions in Sichuan Province from 2004 to 2018 through three indexes: tourism carbon footprint, carbon carrying capacity and net carbon footprint. The results show that the carbon footprint of tourism in Sichuan Province shows an increasing trend. During the fifteen years, it increases by 20.2 times from 427.59 million tons to 9505.95 million tons. The carbon carrying capacity of tourism is increasing year by year except in 2008. Sichuan Province was in a carbon surplus before 2012. The carbon carrying capacity is greater than the carbon footprint, which is friendly to the ecological environment. After 2012, Sichuan Province is in a state of carbon deficit, and the ecological pressure is increasing, which is not conducive to human survival.

A Study on the Tourism Eecological Footprint of Xiaoyanwan Scenic Areas in Xingwen World Geological Park

Based on the theory of ecological footprint,the article established the component models of the ecological footprint,including the dinner,the accommodation,the shopping,the transportation,the sightseeing and the entertainment,to make a research on the tourism ecological footprint of XiaoYanwan scenic areas.Through the research,we have found out the transportation ecological footprint accounted for the largest proportion of the total tourism ecological footprint which is 5739.81 hm 2,the dinner ecological footprint is second only to it,the shopping ecological footprint and the entertainment ecological footprint is considered negligible.The ecological deficit of the whole scenic areas is 4020.13 hm 2.Only if the ecological resources are exploited reasonbly,is the sustainable development of the tourism guaranteed.

泉州市世界文化遗产点关注度与共现效应研究——基于旅游数字足迹

基于互联网快速发展的时代背景,通过爬虫技术获取官方宣传文本和游客网络游记文本,对官方和游客的偏好及偏好差异进行了分析。基于对偏好的差异分析,运用社会网络分析法,分别对官方宣传文本游客网络游记中的遗产点共现效应进行了对比分析,为官方根据游客旅游偏好调整宣传策略提供建议。

Evaluation of the Green Development Status in Mountainous Scenic Area based on the Tourism Ecological Footprint Model

This study employs the Tourism Ecological Footprint Model to meticulously evaluate the green development status of mountainous scenic areas,specifically focusing on the Wenfeng Mountain Scenic Area.The overarching aim is to conduct a comprehensive analysis of the ecological impact stemming from tourism activities.The evaluation encompasses complex calculations and analyses of the ecological footprint,ecological carrying capacity,and ecological surplus.In the case study of Wenfeng Mountain Scenic Area,the findings indicate a notable state of ecological surplus in the current stage of tourism development.The specific quantitative results reveal a surplus,indicating that the ecological impact of tourism activities is well within the sustainable carrying capacity of the region.This implies that despite substantial tourism activities,the ecological environment of the Wenfeng Mountain Scenic Area remains effectively protected and maintained.The ecological surplus signifies a balance between tourism development and the preservation of the local ecosystem,which is crucial for the sustainable development of the region.Moreover,this study delves into the nuances of the ecological components,providing detailed breakdowns of the ecological footprints attributed to various tourism-related activities,including accommodation,transportation,dining,sightseeing,and shopping.These specifics offer a nuanced understanding of the ecological dynamics associated with diverse tourism-related factors.The meticulous assessment of Wenfeng Mountain Scenic Area's green development status has several significant implications.Decision-makers can draw insights into the delicate balance that is required between tourism promotion and environmental conservation.The ecological surplus suggests that current practices align with sustainable development goals andprovide a positive model for similar regions.However,this study also draws attention to some critical limitations in the Tourism Ecological Footprint Model.The detailed results highlight challenges related to model applicability,data collection,and calculation methods,stressing the need for further refinement and validation.Acknowledging these limitations is crucial for refining the model and ensuring its robust application in diverse geographical contexts.In conclusion,this study delivers a granular understanding of the green development status of mountainous scenic areas,specifically the Wenfeng Mountain Scenic Area.The detailed results serve as a rich reference for decision-makers and researchers,offering new insights into specific aspects of tourism-related ecological impacts.As avenues for future research,refining the evaluation indicators and improving the data collection and analysis methodologies will be pivotal for advancing the precision and reliability of green development assessments.

三亚旅游流空间结构及旅游者游览特征研究

基于去哪儿网在线游记所获取的数字足迹数据,在锚点理论框架下综合运用流向统计、关联规则挖掘、社会网络分析等方法,对三亚市旅游流的空间结构进行分析,并凝练不同类型旅游者在不同时间尺度下的游览特征。结果表明:1)三亚市旅游流呈现“一心两核”和若干核心路径的流动格局,三亚市旅游流的空间结构受景点受欢迎程度的影响,核心区处于沿海岸线区域,展现滨海旅游城市的特征;2)在三亚市旅游流的空间结构中核心节点分布不均匀且结构洞现象明显;3)三亚市旅游流结构网络的中尺度旅行的旅游者占多数,其次为小尺度旅游者,大尺度旅游者最少,各尺度各游览类型的旅游者都倾向于游览沙滩型旅游地和岛区,即地文景观类旅游地,而不同尺度下不同游览类型的旅游者游览倾向又有所不同;4)三亚市旅游流的旅游吸引系统呈分级分布且有多个锚点吸引物,不同的锚点吸引物除沙滩型旅游地和岛区外,对不同游览类型和游览时间的旅游者吸引力不同。

厦门市旅游流网络结构研究

基于携程旅行和去哪儿网站发布的游客旅行游记数据,以厦门市作为研究区域,通过社会网络分析法,揭示厦门市旅游流整体网络结构特征。结果表明:出游厦门市的游客以“中长假期”为主,停留时间较长。从停留时间来看,四日游占比高于其他时间,本地长途游很受青睐;在对厦门市36个旅游节点的研究中,旅游流网络结构呈不均衡分布,核心景点作用明显;厦门大学在旅游流网络中占据的流量比重大,处于核心位置;海湾公园、鹭江道、日光岩等景点则处于边缘地带。因此,应完善厦门市的旅游流网络结构,实现厦门市的旅游优质化发展。

基于碳足迹的黑龙江省典型旅游区生态效率研究——以伊春市为例

此研究基于碳足迹方法,以伊春市为研究对象,从旅游全环节对生态效率进行分析。研究表明,随着旅游经济的增长旅游二氧化碳排放量也随之增加,旅游人数和季节性的变化对于旅游碳排放具有较大影响。旅游生态效率相对较好。优先实施碳排放约束措施,对于提升旅游生态效率有更好的效果,同时持续发展旅游经济和利用新技术、新发明等方式增大碳减排空间对于旅游业可持续发展具有良好的促进作用。此外,应以旅游业绿色低碳转型为切入点,激发旅游经济增长绿色动能,从而实现更高质量、更有效率、更可持续的发展。

九寨沟区域多时空旅游碳排演化与形成因素分析

采用生命周期评价法,选择了九寨沟景区作为案例地进行研究,通过计算不同时空背景下的交通碳排放和碳足迹数据,分析九寨沟景区交通碳排放的时空变化特征。研究发现九寨沟景区的交通碳排放呈现时空变化特征,与旅游需求和商业体系密切相关。提出了优化碳排放的策略和措施,包括建立基于物联网的全面的碳排放检测体系,以实现旅游业的可持续发展。

基于数字足迹的桂林市旅游流时空特征分析

利用从马蜂窝旅游网采集的网络游记作为数据来源,研究2012—2019年间桂林市旅游流的时空特征.结果表明:第一,桂林市旅游流在时间上具有明显的季节性特征,但季节性特征趋于减弱;第二,桂林市旅游流主要为西北—东南走向,整体上呈现出“两大核心、四个层级、分布不匀、高度聚集”的空间分布格局;第三,桂林市旅游流网络结构中,存在节点强度分布不均、结构洞、内部节点竞争力差异大等特征.针对时空特征给桂林市旅游业带来的限制,提出了相应的解决建议.

Touristic Ecological Footprint of Jiufeng National Forest Park in Beijing Based on Component Method

This paper,based on the ecological footprint component method,calculated the touristic ecological footprint of Jiufeng National Forest Park in Beijing.The results showed that in 2013,in Jiufeng National Forest Park,the total touristic ecological footprint was 183.08 hm2,the total ecological capacity was 225.16 hm2,the total touristic ecological surplus was 42.07 hm2,and the average touristic ecological surplus was 0.000 4 hm2 per capita,indicating that tourism in Jiufeng National Forest Park was in ecological surplus and ecological security.However,forest parks in Beijing at large were in ecological deficit.This paper suggested that the tourist flow volume of forest parks with a big ecological deficit should be moved to forest parks with an ecological surplus.Besides,forest parks are expected to strengthen the development and management,improve the availability of forest recreation resource,and promote the environmental protection awareness of tourists,so as to boost the sustainable development of forest park tourism.

基于旅游数字足迹的环巢湖旅游流网络结构特征研究

乡村旅游蓬勃发展,使得城乡地区旅游流正在发生微妙变化。以旅游数字足迹为来源,基于UCINET 6.212软件构建环巢湖城乡旅游流网络,并结合桑基图与社会网络相关指标对其网络结构特征进行分析,得出以下结论:环巢湖旅游呈现出季节性特征明显、逗留时间短的时间特征,在空间邻近节点间呈现访问频次高和以特色旅游资源景观为导向的空间特征;整体网络规模高但密度低,网络结构不平衡,呈现出“大分散,小集聚”的特征,核心节点对边缘节点带动作用不强;姥山岛、三河古镇等节点位于网络中的核心地位,拥有着更多的竞争机会且非替代性优势明显。建议加强保护核心景点资源,提高边缘景点知名度,提升核心与边缘节点的联动效应。

基于足迹成分法的独龙江乡生态旅游可持续发展研究

基于独龙江乡生态旅游调查数据及统计数据,运用生态足迹成分法从旅游生态足迹、旅游生态承载力、生态压力指数三个维度对独龙江乡生态旅游可持续发展演变态势进行研究。结果表明:2015—2019年,独龙江乡的旅游生态足迹从454.7689 hm^(2)增长到1214.5442 hm^(2),共增长了1.67倍,人均旅游生态足迹均值为0.0168 hm^(2)/人次,旅游交通成为影响独龙江乡生态旅游可持续发展的首要因素;旅游生态承载力(127780.79 hm^(2))>旅游生态足迹,当前生态旅游处于可持续状态;人均生态承载力、人均生态盈余有逐年缩小态势;生态压力指数历年都小于0.5,该地生态系统处于很安全状态。2020年因受疫情、自然灾害等外部因素影响,发生了较往年不同的反常变动。因此,应从调整旅游要素结构、培植生态旅游产业体系、深度开发生态旅游体验项目等方面促进独龙江乡生态旅游的可持续发展。

内蒙古自治区旅游流时空特征分析

旅游数字足迹数据源的出现,使学者对旅游流时空特征分析更细致且准确性更高。本文以“去哪儿网”的网络游记作为数据源,聚焦于游客赴内蒙古的旅游流时空特征及网络特征,并运用统计分析、空间分析以及社会网络分析法进行时空以及网络结构分析。以研究结果表明:(1)赴内蒙古旅游的客流量具有明显的季节性特征,且游客停留时间较短。(2)旅游流节点空间分布表现出明显的不均衡性,如呼伦贝尔大草原等核心节点集聚性表现明显。(3)各节点在旅游流网络中表现出的内部关联性整体较差。(4)旅游流网络中,以呼伦贝尔大草原、满洲里套娃景区、满洲里国门景区等核心节点之间的关联性较高,具有显著的高集聚性和高辐射力,对周边的劣势景点造成负面影响。

基于碳足迹的旅游行业温室气体排放核算方法研究

完整、准确的温室气体排放核算是应对气候变化的重要基础工作,现有的温室气体排放核算指南主要针对电力、钢铁等生产性重点排放行业,尚未针对旅游行业制定排放核算指南。由于较大的累积排放影响,及其在排放主体、排放周期和排放边界等方面的特点,现有的核算方法不适用于旅游行业温室气体排放核算,亟待制定适用的核算方法以推进低碳旅游的开展。为建立旅游温室气体排放核算体系,在分析排放核算体系现状和旅游排放特点的基础上,对基于碳足迹的旅游行业温室气体排放核算方法进行了研究,并对其实施提出了发展建议。

山西省旅游碳足迹与碳承载力动态关系研究

“双碳”目标是实现高质量发展的内在要求,对包括旅游业在内的各行业发展提出挑战。山西省作为能源大省,控碳、减碳势在必行,研究山西省旅游业碳足迹与碳承载力动态关系,对于山西省乃至全国实现“双碳”战略目标意义重大。对山西省旅游碳足迹与旅游碳承载力测度,并基于耦合协调度模型研究山西省2000—2020年旅游碳足迹和旅游碳承载力动态关系,提出二者协调发展相关建议。研究表明,山西省旅游碳足迹与人均旅游碳足迹总体呈现上升趋势;山西省旅游碳承载力总体上升但人均旅游碳承载力波动下降;山西省旅游碳足迹与旅游碳承载力复合系统的耦合协调度整体呈现上升态势,2019年受新冠影响二者之间的协调度水平下降。

民族村寨景区游客感知与情感评价研究——以西江千户苗寨为例

研究民族村寨景区游客感知与情感评价,探析游客视角下的景区,有利于精准判别供需差异与矛盾,破解发展痛点与堵点,推动旅游高质量发展。基于数字足迹以西江千户苗寨为例对其游客感知与情感评价进行分析,结果表明:游客评论以积极评论为主;游客感知主要集中在以苗寨、长桌宴、风雨桥等为代表的民族文化元素上,体现出鲜明的民族文化消费偏好;游客对旅游吸引物积极感知最强,对环境氛围消极感知最强;商业化严重已成为负面评价的主要来源;旅游设施、管理服务存在物价高、管理混乱等问题,不容忽视。据此,提出丰富旅游产品、平衡商业化与游客体验、加强市场监管、完善旅游设施、强化区域合作等建议,以期为民族村寨景区发展提供参考。

基于旅游生态足迹模型的历史文化街区旅游可持续发展研究

历史文化街区是人类宝贵的历史文化遗产。历史文化街区中的地方特色食品可开发成旅游餐饮产品,传统民居可以开发成旅游客栈等,成为人们了解和学习特定城市或地区的过往及其发展演变历史的场所。但随着游客数量的增多、游客消费行为模式的变化,以及区域旅游设施规模的扩大,旅游开发方面出现了一些负面影响,不利于旅游可持续发展目标。因此,文章通过对历史文化街区旅游生态足迹和生态承载力的研究,了解其旅游发展态势,改善旅游开发模式,推动历史文化街区旅游的可持续发展。

旅游业碳足迹与碳承载力的动态研究

以碳足迹理论为基础,对2010~2020年我国旅游业的碳足迹以及碳承载力进行了动态比较,分析了我国十年来旅游业的碳足迹变化情况。为进一步探究我国旅游业的碳足迹分布情况,对各省(区)域的碳足迹进行了测算。结果表明:①我国旅游业始终呈现出碳足迹赤字现象,当前发展模式对于环境造成消极影响;②2010~2019年旅游业碳足迹与旅游业碳承载能力均逐年上升趋势,但碳足迹增长幅度远高于碳承载力的增长幅度;③2020年出游人数大幅降低,导致旅游业碳足迹以及旅游业碳承载力均呈现出极低值,但人均净碳足迹却仍旧呈现出上升态势。

基于终端消费的旅游碳足迹测算——以江西省为例

低碳旅游是生态旅游的定量化研究方式之一,其核心是旅游碳足迹的测算。根据已有碳排放模型,文章建立了两大旅游碳足迹模型:综合模型(1)可测算区域时间和空间跨度的旅游碳足迹,而行业模型(4)则能进一步分析各旅游部门的碳足迹。并以江西为例实证研究,结果表明:2007年江西省旅游碳足迹总量为379.17万吨～395.83万吨,其中国内旅游碳足迹占95%以上;平均旅游碳足迹54.09千克/人次～56.46千克/人次;旅游六大部门的碳排放比例依次为旅游交通碳足迹占总量的37.84%,购物占15%,住宿占10.28%,餐饮占8.78%,游览占4.73%,娱乐占4.06%;影响旅游碳足迹总体变化的关键因子主要有碳排放系数Kn、能源强度系数En等因素,且其定值决定了研究的最终结果。