Tourism ecological security (TES) is a crucial factor influencing the sustainability of urban agglomerations (UAs). However, existing research mainly focuses on the quantitative assessment of TES, neglecting the complexity of its spatial correlation network (SCN) within urban integration contexts. Using the Yangtze River Delta Urban Agglomeration (YRDUA) as a case study, this study employs the DPSIRM-EBM model, social network analysis, and quadratic assignment procedure to systematically explore the structural characteristics and driving mechanisms of TES’s SCN. The findings are as follows: (1) TES in the YRDUA has exhibited a rising trend with an average annual growth of 0.54

Sustainable water resources utilization (SWRU) is crucial for regional sustainable development, but comprehensive analyses of its spatial correlation network (SCN) remain limited. This study investigates the SCN of SWRU and its driving factors through three-dimensional water ecological footprint, social network analysis, and quadratic assignment procedure from the perspectives of water stock and water flow capital. The main findings are as follows: (1) SWRU exhibits pronounced spatial heterogeneity, with stronger levels in the south and weaker in the north; (2) Spatial correlation of SWRU displays a distinct network structure with increased stability and density, although further optimization is required; (3) There is an inverse correlation between SWRU levels and network status, with Shanghai, Jiangsu, Beijing, Zhejiang, Tianjin, and Guangdong forming the core of SCN; (4) The SCN is divided into four major blocks, with inter-block spatial correlations significantly stronger than intra-block correlations; (5) Per capita GDP, technological innovation, geospatial adjacency, openness level, and ecological water replenishment significantly affect the spatial correlation of SWRU. These findings provide valuable insights for rational water allocation and cross-regional integrated water management in water-scarce regions.

Clarifying the spatiotemporal evolution of sustainable water resources utilization (SWU) and its decoupling effects from economic growth (EG) is essential for the effective management of water ecosystems and sustainable development of basins. However, the traditional Ecological Footprint model limits the ability to compare SWU within a basin, and existing studies need to pay more attention to the importance of water renewability in quantifying SWU. Based on the capital flow and capital stock perspectives, this study constructed an evaluation method for SWU and its decoupling effect from EG by combining the three-dimensional Water Ecological Footprint (WEF), sustainable reclassification, and the Tapio model, and explored different types of SWU enhancement strategies. The results indicate that: (1) From 2010 to 2022, the SWU of the Yellow River Basin (YRB) shows a decreasing and then increasing trend and is generally in water ecological deficit, with a lower SWU in the middle and lower reaches. Overall, the per capita WEFsize decreased by 0.73% per year, while the WEFdepth increased by 0.26% per year, the pressure and stress on the SWU of the YRB are still significant. (2) Agricultural freshwater use and domestic greywater discharge dominate the WEF of the basin, and the problem of inversion of the water use structure with the industrial structure is evident. (3) Spatial differentiation within the basin is apparent, and SWU shows a spatial distribution of western strength and eastern weakness, with significant consumption of water capital stock due to insufficient water capital flow as the main reason. (4) Topio decoupling analysis shows that WEF and EG are mainly strongly decoupled, with WEF lagging behind EG; the decoupling relationship between SWU and EG evolves from END-SD-WD, reduces the consumption of water capital stock and increasing water capital flow is a reasonable way to realise its stable strong decoupling. This study is essential for SWU studies of large river basins in arid and semi-arid regions. It provides insights into the sustainable management and rational allocation of water resources in the YRB and other similar basins worldwide.

地方营造是保护好、传承好、利用好大运河文化,带动旅游发展的重要路径.大运河国家文化公园是在民族复兴、文化强国的历史语境下,对大运河"地理空间"注入特定的意义和价值,使其成为中华文化重要标识的公共文化空间,其本身就是大运河的"地方营造".建构集体记忆与身份认同、打造空间叙事综合体、重现运河人家生活场景、开展运河主题节事活动是江苏大运河国家文化公园地方营造的主要路径,应更加关注民众的日常生活实践,关注根植于地方的传统民俗节事活动,形成"自上而下"与"自下而上"双轮驱动的大运河国家文化公园地方营造路径.

摩天大楼是现代城市崛起的重要标志,过去百余年间在全球范围内快速扩张,当前中国已成为全球摩天大楼最集中的国家,探索全球摩天大楼的演化过程、时空格局和影响因素,对中国摩天大楼的发展与管理具有重要启示.基于此,文章采用地理空间分析方法对全球200m及以上摩天大楼进行研究,结果表明:全球摩天大楼的演化过程具有显著的阶段性特征,空间上表现出"集中—分散—再集中—再分散"的发展态势,其时空分布主要受自然环境、社会经济、政策法规和科学技术等因素影响.研究指出中国摩天大楼的发展应采取因地制宜、分类施策的管理策略.

The concept of strong sustainability suggests that natural capital is irreplaceable and emphasizes that human natural consumption cannot exceed the carrying capacity of the ecological environment. In the realistic context of tightening resource constraints and ecological degradation, how to explore the optimal economic and well-being output under certain ecological constraints has become an important topic in sustainability research. Ecological well-being performance (EWP) can comprehensively reflect the efficiency of natural resources and ecological inputs into the well-being level and has become an important tool for sustainable development research. Based on strong sustainability, this paper constructs an EWP evaluation index system. It decomposes EWP into two stages: ecological economy and economic well-being, which opens the “black box” of the ecological well-being conversion process. PCA-DEA, the network super-efficiency Epsilon-based measure (Network SEBM) model, and Geodetector are used to dynamically measure the EWP in the Three Gorges Reservoir Area (TGRA) from 2010 to 2020 and analyze its spatial and temporal characteristics and influencing factors. The results show that (1) temporally, the EWP in the TGRA shows an increasing trend from 2010 to 2020, but the overall level is low. Spatially, it shows a high pattern in the east and low in the west, and spatial differences are gradually decreasing; (2) ecological economic efficiency is significantly lower than economic well-being efficiency, and ecological economic efficiency is the main reason limiting the improvement in EWP in the TGRA. The ecological well-being situation of the TGRA is not optimistic; (3) there is an overall problem of excessive ecological input and insufficient per-capita GDP and well-being output in the TGRA, and decisions should be made according to local conditions; (4) the level of economic development has an EWP level that plays a dominant role and also has a greater relationship with the policy system, socioeconomic conditions, and natural environment.

城市滨水区游憩空间与游憩活动相互影响、相互制约,游憩空间为游憩活动提供物质基础,影响游憩活动的时空分布,游憩活动引导游憩空间要素的布局、功能与特色等,只有二者协调发展才能推动城市滨水区游憩空间的高质量发展.以南京秦淮河滨水区为例,基于电子地图兴趣点(POI)、百度热力图,构建城市滨水区游憩空间与游憩活动耦合模型,对游憩空间与游憩活动耦合协调特征及影响机制进行分析,结果表明:(1)南京秦淮河滨水区游憩空间与游憩活动总体耦合协调度较低,分布不均衡,"中间高,两边低",且以夫子庙景区为中心,越向外围耦合协调度越低;(2)生产型空间总体耦合协调情况最好,其次是生活型与公共型空间,景观型与生态型空间总体耦合协调度最低,不同类型游憩空间要素与游憩活动的耦合形态有差异,且在工作日与休息日的差异有所不同;(3)南京秦淮河滨水区游憩空间与游憩活动的耦合受到市场供需机制、集聚——扩散效应、政府调控机制等共同影响.

社区化和景区化是实践中乡村社区进行旅游开发的两种重要模式,也是当地乡村旅游发展自然、经济和社会环境的综合反映.为深入探究乡村旅游社区化和景区化模式差异背后的理论机制和规律,文章剖析了浙江和山西的两个典型村落乡村旅游发展历程,厘清了不同社会经济背景下乡村旅游社区化与景区化发展路径差异与特征,探索了影响乡村社区旅游发展模式选择的核心要素及理论规律.结果发现,乡村旅游社区化与景区化既表现为由点到面开放式一体化和由面到点飞地式舞台化的建设路径差异,又反映出"乡村休闲与生活体验的日常叙述"同"乡村自然与文化观赏的舞台凝视"的内涵差异.研究认为,社区化与景区化差异的形成是以乡村地域社会综合发展环境为基础,不同乡村旅游投资策略形成不同乡村社区旅游开发路径,并在乡村旅游设施建设、社区参与和空间扩展等方面造成差异化发展特征的结果.以上研究发现以期能丰富乡村旅游与社区发展关系的理论认识,为切实解决乡村社区旅游开发路径问题提供理论参考,更好地促进乡村旅游高质量可持续发展.

在文学地理学的范畴中,诗词作品中的景观元素蕴含丰富的空间信息和审美思想.基于人地关系视角挖掘诗词中典型景观信息,对于旅游审美的建构具有重要现实意义.文章在梳理整合庐山历代诗词中的景观信息基础上,通过构建景观典型性指数Ki和典型景观指数Li,并考察各历史时期中景观系统的发展情况,运用Ripley's K函数和地理探测器方法,分析景观多尺度空间格局和影响机制,发现:(1)诗词中典型景观增长呈迂回式上升发展,出现频数的密集分布情况与区域集群的分布规模较为一致.(2)诗词中典型景观整体上显著集聚,各类景观分别呈现出随机或者均匀分布规律,与诗词构景的景观多样化需求有关;建筑与水文类型景观特征空间尺度大,山岳和生物类相对较小.(3)典型景观出现频数主要受到区域因子和类型因子的影响,各因子两两交互解释力显著提升.诗词中的诗性精神,通过景观的空间布局和历史感营造在现代旅游中进行呈现,对提升旅游者的审美体验具有重要借鉴意义.

This study analyzes the impact of the COVID-19 pandemic on rural tourism and the subsequent recovery process from the perspective of mobility. The results show that the pandemic has exacerbated the time-space restrictions on tourist mobility, and the recovery process of different types of rural tourist destinations differs. Although tourist numbers in some rural areas have increased, the rural tourism market has not fully recovered and is struggling to grow significantly after the pandemic; thus, local governments and managers need to adopt prudent and diverse governance policies. The study criticizes the current research and holds that over-optimistic feelings have covered up the dilemma of rural tourism, violated the rights of vulnerable rural groups to have their voices heard, and may further exacerbate the uneven development of rural tourism. This study provides new insights that have important implications for future research on rural tourism.

考察诗词作者的区域分布与演变,能够厘清其文化环境的时空发展规律,对文化传播和文化区整合具有重要的现实意义.本文采用指标刻画、LISA时间路径与时空跃迁方法,在时间和空间两个维度对南京钟山历代诗词作者的流变及时空分布特征进行了分析,研究发现:(1)魏晋南北朝时期奠定了钟山文化传播的基础,隋唐至宋元时期诗词鼎盛,增幅达到历史最高,地域分布趋于均匀;(2)钟山诗作者空间分布西低东高,以"T"字形态集中分布在沿海省份和长江流域,呈现出以江苏为中心向外圈递减的"核心—边缘"形态;(3)钟山诗词作者源地中,江苏省规模最大且发展平稳增速较低,周边省份增长过程中具有后发优势,依赖效应最强,并向外围省份递减;各省的诗词作者整体分布格局具有一定的稳定性和集聚性.

It was helpful for clarifying the development process of regional culture to study on distribution pattern of landscape in poetry. The paper studied the spatio-temporal evolution of landscape in poetry from Weijin to Qing Dynasty by using LISA time path and spatial cohesion, and the results found that:（1） The landscape in poetry initiated in Wei and Jin dynasties, flourished in Sui and Tang dynasties, fell in Song and Yuan dynasties, and remained stable in Ming and Qing dynasties. The regional distribution of landscape shows a core-edge pattern. The distribution center gradually moved southward from the Yellow River basin to the Yangtze River basin.（2） The length of LISA time path decreased outwards Shaanxi, Henan and other provinces with high frequency landscape concentration. The overall spatial pattern of landscape distribution was stable and cohesive.（3） The natural geographical environment constructed the basic condition of landscape distribution. The development of landscape in poetry was influenced by the culture fundamentally. Political power and economic factor played the role of traction and direction.

The coronavirus disease 2019 (COVID-19) has had an unprecedented impact on global tourism, and the tourism industry has not recovered from the effects of the pandemic in most countries. Previous studies have researched the impact of epidemics on the number of tourists, but research on their impact on the tourism flow network is still limited. This research focuses on Hubei Province as a case study by obtaining tourism flow data for 2019 and 2020. This study used network analysis methods to research the impact of COVID-19 on the tourism flow network and its recovery after the pandemic. The results show that COVID-19 has a substantial short-term impact on tourism flow, with a recovery period of approximately 20 weeks. However, there are differences in recovery in various regions. The tourism flow network in large cities and areas severely affected by the pandemic recovered slowly, while rural and natural scenic spots recovered faster. Simultaneously, the attraction radiuses of tourist destinations shrank significantly, and tourist markets became more concentrated. Meanwhile, destinations in the suburbs, rural areas, and small cities obtained new opportunities in the short term. Finally, this research provides suggestions for the recovery of tourism after the pandemic.

乡村旅游发展区域差异是乡村旅游投资空间不均衡的外在表现.新时代乡村振兴背景下乡村旅游投资不断增长,正加速影响乡村旅游发展空间格局与区域差异.在对比认识浙晋乡村旅游发展差异基础上,深入剖析了乡村旅游投资系统作用区域乡村旅游发展差异的深层机理.结果发现:(1)以乡村旅游精品线路为表征的浙晋乡村旅游发展水平和市场成熟度差异显著.(2)在乡村旅游投资"自然—产业—社会"环境中,产业基础环境对区域乡村旅游发展差异贡献最突出,是区域差异形成的核心要素,自然生态环境是基础,社会文化环境则发挥积极促进作用.(3)乡村旅游发展区域差异是不同乡村旅游投资环境引起区域乡村旅游投资收益预期和回报水平与乡村旅游发展路径及模式差异的结果.基于此,提出新时代乡村旅游投资IE-maps 模式,以期促进区域乡村旅游协调发展和乡村振兴战略实施.

基于世界经济论坛《旅游竞争力报告》和联合国商品贸易数据库,采用熵值法、耦合协调度及相对发展度模型、GIS空间分析等方法,分析2007-2015年"一带一路"沿线49国旅游竞争力与旅游服务出口间的耦合协调发展关系及其时空演变.结果 表明:①49国旅游竞争力与旅游服务出口整体处于协调状态,随时间变化不明显,多数长期处于中度协调状态;②从空间演变趋势看,耦合协调度区域分异和变化程度均较明显,东西方向上由"U"型逐渐向一字型演变,而南北方向上由"U"型逐步演变为"L"型格局,其中,中亚地区耦合协调度等级最低,其次是南亚地区,东亚、东南亚、中东欧地区耦合协调度相对较好;③各国旅游竞争力与旅游服务出口耦合协调类型分为两类——同步型和旅游服务出口滞后型;其中,以旅游服务出口滞后型数量最多,占比高达87.7％,而同步型国家主要分布在东亚和西亚地区,数量呈现缓慢增长趋势,至2015年该类型国家主要为中国、泰国、新加坡、卡塔尔、塞浦路斯、阿联酋等.

长征国家文化公园建设面临着的现实需求和复杂问题,迫切要求开展相应的系统性研究工作.以长征国家文化公园内154处重点红色旅游资源为研究对象,基于"虚拟"与"现实"相结合的视角,使用GIS、Gephi等研究方法,对其网络关注度和旅游流网络结构进行分析.研究表明:(1)红色旅游资源网络关注度普遍偏低、差异明显,5A级景区和重要人物是最受网络用户关注的资源类型;(2)旅游流网络结构松散、小世界效应显著,在湖南、贵州、陕西省内分别形成了"△""网状""双核"结构模式;(3)网络关注度与旅游流网络具有关联性和差异性,据此识别了湘中、黔川、陕北等重点红色旅游区,以及川陕、闽赣等红色旅游发展潜力区.基于以上分析,长征国家文化公园建设应以重点红色旅游资源为基础,实施分类施策、分段开发、扬长补短的发展策略.围绕高高、高低、低高、低低四种不同类型资源制定相应的发展策略,并结合不同区域的发展情况分别采取"节点""斑块""廊道"相结合的发展模式.

气候环境对人类行为具有重要影响,在全球变暖和城市热岛效应不断加剧的背景下,避暑旅游已经成为全球旅游者夏季出行的重要选择.贵州省作为中国国内主要的避暑旅游目的 地之一,针对避暑旅游流网络特征及影响因素的研究尚未开展.本研究通过对贵州省避暑旅游现象长期的跟踪调查,获取2015-2019年间有效避暑旅游流线路数据2177条,运用复杂网络、GIS空间分析、QAP回归分析等方法,对避暑旅游流网络结构特征和影响因素进行研究.结果 表明:①避暑旅游流网络规模大、密度低,集聚特征明显,网络发育不完善,具有显著的"核心-边缘"结构,核心城市和景区分别呈"板块"和"点轴"状分布,旅游流线路具有"基营"和"环线"式结构特征.②交通中心城市和核心景区是避暑旅游流的集散中心,贵阳在整体网络中具有突出优势和无法替代的地位,避暑旅游城市和景区在空间上相互交织,形成"贵(阳)安(顺)-荔波-凯(里)镇(远)"的"▽"空间结构.③避暑旅游流空间分布受气候舒适度、空间邻近性、旅游资源禀赋、接待服务能力和交通便捷程度等因素共同影响.最后,从区域旅游协调发展、旅游统计数据改革、网络空间结构优化等方面,对贵州省避暑旅游高质量发展提供了对策建议.

<span id="ChDivSummary" name="ChDivSummary" class="abstract-text">城市是游客活动的重要空间载体,把握游客在城市间流动特征是探究区域城市旅游联系、明确旅游影响区域发展的作用机制与优化未来城市旅游发展布局及策略的前提和基础。本研究借助聚类法、挖掘算法与网络分析法,以地理标记照片为研究对象,对泛长三角区域52个地级城市入境游客空间特征从分布、类型、流动、意象等视角进行分析。结果显示:依据入境游客聚集程度泛长三角区域可被划分为入境旅游核心区、次核心区与边缘区,其中,核心区与区域经济中心高度吻合,次核心区旅游资源特色突出,边缘区旅游发展潜力较高。同时,入境游客流动网络密度由中部核心区向外部边缘区逐渐降低,形成一个包含四等级的网络层级结构。且各省市区域内部入境游客分布与流动也呈现差异化特征,并与各地资源禀赋、经济水平、交通条件和服务接待水平等因素密切相关。最后,入境游客意象分析也在一定程度印证出目的地最本质的地方性特征对入境游客空间分布和流动特征的影响及作用。</span>

随着互联网与社交媒体的兴起,用户分享内容中的地理标记数据成为旅游流研究的重要对象。以南京入境旅游流空间特征为研究对象,以2010—2018年Flickr平台内南京地理标记照片为基础,利用DBSCAN算法、ArcGIS 10.2等方法与技术探究南京入境旅游热点区域、游客移动轨迹特征及模式。研究结果显示:（1）南京入境游客访问峰值出现在3-6月及10月,以一日游为主。（2）南京AOI空间分布差异明显,历史城区是南京入境旅游最热门区域,其AOI分布与旅游景区、商业购物等相关产业空间高度重合;中心城区的AOI分布数量次之,钟山风景区是其热度核心,深受热衷历史文化的游客追捧;郊区的AOI分布数量最少,基本与当地旅游景区相吻合。（3）单日游和多日游的游客移动轨迹网具有显著差异性,分别体现在网络范围、网络体系、旅游对流及转移差值4个方面。（4）南京入境游客移动轨迹模式可划分为区域内部移动轨迹模式和区域间移动轨迹模式。根据上述研究结果,分别针对历史城区、中心城区及郊区提出相应的发展建议。

基于电信数据,选取江苏省各市电信用户对省内景区的搜索量为研究对象,运用社会网络分析方法,研究江苏省潜在旅游流的网络结构特征及其影响因素,结果发现:① 江苏省潜在旅游流网络密度较低.苏南地区间旅游互动频繁,苏北地区间旅游联系亟待加强.② 核心-边缘结构明显.苏锡宁地区是网络中的核心区,徐淮连盐为边缘区,其余地区为次级核心区.③ 深度剖析旅游流网络结构的影响因素,发现居民私家车拥有量、可自由支配收入、公路距离是制约地区间潜在旅游流流动的主要因素;旅游接待设施与列车数量是影响潜在游客选择旅游地的重要因素.潜在游客群体倾向选择交通便利、设施完善且居民生活水平较高的旅游目的地,这也是苏南地区在潜在旅游流网络中发挥较大作用的原因.