Tourism Spatial Structure in Urban Agglomeration of the Greater Bay Area and Its Optimization

With the rapid development of economy,China’s urbanization process is accelerated.As major urban cluster center,Guangdong-Hong Kong-Macao Greater Bay Area is regarded as one of the most representative areas with the highest openness and the strongest economic vitality.Under the background of new era,main purpose of making development strategy of the Greater Bay Area is to build a world-class city cluster with great vitality,and establish a world-class science and technology innovation center with great influence.It also lays a good foundation for strengthening the construction of the belt and road initiative in China,and improves quality of life in the cooperation zone between the mainland and Hong Kong and Macao.Under the background,the tourism industry has new challenges,and the tourism spatial structure should be more closely linked.In this paper,tourism spatial structure of 9+2 urban agglomeration in the Greater Bay Area is taken as core research objective,and tourism resource of the urban agglomeration,and development of tourism economy and perfect transportation network in each city are analyzed.According to research results,the targeted suggestions and optimization methods are obtained.

Spatial Distribution Characteristics of Rural Tourism Attractions in Yangzhou City

By using geography quantitative methods and Arc GIS,the spatial distribution characteristics,types,rules and influencing factors of 20 representative rural tourism attractions in Yangzhou City were analyzed.The results show that the traffic accessibility of various regions in Yangzhou City correlated positively with the spacial distribution of rural tourist attractions in quantity in these regions.The rural tourist attractions were dense in regions 10-20 km away from the center of the city;there was only one rural tourist attraction in regions 40-70 km away from the center of the city;some big rural tourist attractions were distributed in regions 70-90 km away from the center of the city;market orientation influenced the spatial distribution of the rural tourist attractions obviously.In regions 0-30 km away from the center of the city,most rural tourist attractions mainly provided recreation and entertainment services for tourists;in regions more than 70 km away from the center of the city,most rural tourist attractions mainly provided health and recuperation services for tourists;in regions 30-50 km away from the center of the city,the service functions of the rural tourist attractions were compound and diversified.

Analysis of the Spatial Structure of Tourism Resources in Ji'an City

This paper analyzed characteristics of tourism resources in Ji'an City,and carried out quantitative analysis of local tourism resources based on agglomeration effect of resources,connectivity analysis,and accessibility analysis. The results showed that the city has poor loop of tourism network,major scenic areas(spots) have moderate network accessibility,in view of this,suggestions for the optimum development of local tourism industry were proposed.

Spatial Pattern of Chinese Tourism Development and Its Mechanism Based on Different Spatial-temporal Scales:Taking the Panel Data of China Mainland(1996-2010) for Example

By taking the panel data of China mainland from 1996 to 2010 for an example, this paper used ESDA, gravity center and standard deviation ellipse to analyze the spatial differences, combined with the impulse response function to propose the infl uence mechanism of spatial evolution. The results showed that the provincial tourism economy generally showed a random spatial distribution and the spatial differences had narrowed from 1996 to 2010. The differences of tourism development in east China are the largest, and differences of the middle China are the smallest. The gravity center of Chinese provincial tourism has shifted to the northwest, the HH district concentrated in the Yangtze River Delta and its surroundings, the LL district concentrated in west Chinese. The high-value areas of city tourism economy are broadly distributed in the right of line "Heihe–Tengchong", mainly concentrated in four plates. Compared with spatial differences of provincial tourism economy, those of city tourism economy were more signifi cant. Regional tourism resources and social economic factors are the two major factors that infl uence spatial differences of tourism economy, the objective rule and policy and institution also have a great impact on regional tourism development differences. Special events may have a certain impact on the pattern of the original; however, it cannot change the spatial pattern completely.

Temporal-spatial change and driving mechanism for regional difference of domestic tourism in China

By using the variation coefficient,Gini coefficient and Theil coefficient,this paper makes preliminary exploration of temporalspatial change features and driving mechanism for regional differences of domestic tourism in China from 1995 to 2009.According to the results,we drew the following conclusions:(1)The regional difference of domestic tourism in China tends to be narrowing generally,and is less than that of inbound tourism,playing an important role in narrowing the overall gap of regional tourism in China.(2)The regional internal difference features:inter-provincial difference in the eastern region and difference among the eastern,central and western regions are comparatively obvious and demonstrate a significantly shrinking tendency,the change tendency is consistent with the change tendency of overall difference and exercises a decisive role in overall difference,whereas the inter-provincial difference in the central and western regions is small and relatively stable,having less influence on the overall difference.(3)The temporal-spatial change in regional difference is featured by:low-level provinces occupy a majority and are concentrated in the central and western regions,showing a tendency of narrowing difference;high-level provinces are concentrated in the eastern region,showing a tendency of spreading to the central and western regions;spatial pattern of regional difference demonstrates 4 types,i.e."proliferation type","polarization type","quiescence type"and"collapse type."(4)The driving force for regional difference of domestic tourism in China comes down to 3 aspects:regional socio-economic attribute,regional transport accessibility level and regional development policy.

Spatial Structure of Tourism Resources in Liaoning Province

Selecting fifty one 4A grade scenic spots in Liaoning Province as sample scenic spots,this paper analyzes spatial structure of tourism resources of Liaoning Province in quantitative and qualitative aspects by means of geographical and mathematical spatial analysis method. Results indicate that spatial distribution of resource type scenic spots is agglomerative,and the balance of regional distribution is not high; the degree of centralized distribution is relatively low,but it is still centralized distribution,the distribution uniformity is relatively low. Areas with high density of resource type scenic spot distribution include Shenyang,Dalian,and Dandong cities in Liaoning Province.

Spatial Development Structure and Value Assessment Research of Tourism Resources in Panzhihua City

On the basis of analyzing categories and distribution of tourism resources in Panzhihua City,spatial distribution features of the resources were explored,and spatial combination laws proposed pertinently,quantitative and qualitative methods used to evaluate value of tourism resources in the city,and suggestions given for the hierarchical development of local tourism resources.

The Spatial Structure of Rural Recreational Tourism Destinations

We select 149 rural recreational tourism destinations in Liaoning Province as the samples, and use geographical mathematical method to analyze the travel spatial structure of rural recreational tourism destinations from aggregation degree of spatial distribution, the balance of spatial distribution, spatial connection and spatial accessibility. The results show that the spatial distribution of tourism destinations shows the gathering distribution pattern, and the evenness of the distribution is very low, displaying strong neighboring positive effect; the accessibility of traffic network is high, and basically the dense tourist traffic network is formed; the nodes with the best accessibility are mainly concentrated in the city groups of central Liaoning and the southern regions of Liaoning, while the nodes with poor accessibility are mainly concentrated in the city groups of western Liaoning and the eastern regions of Liaoning.

Spatial Evolution of Tourism-Oriented Rural Residential Space: A Case Study of Xiaochuanfangyu Village, Dongshuichang Village and Maojiayu Village in Jizhou District, Tianjin

Currently, rural residential space can't continue to meet the growing demand for tourism receptions because of the development of rural tourism, resulting in the evolution and reconstruction of residential space in rural areas. In the past decade, rural tourism has become the main driving force for industrial transformation and economic growth in rural areas of China. Taking three tourism-oriented villages in Jizhou District, Tianjin, namely Xiaochuanfangyu Village, Dongshuichang Village and Maojiayu Village, as the objects of the research, this paper analyzed the influence of rural tourism on the evolution of rural residential space from the perspectives of the spatial pattern and architectural style at the microscopic scale.

Spatial Distribution of Domestic Tourism Market in Inner Mongolia Autonomous Region and Its Development Strategies

This paper, based on the statistical data from the Sample Survey of Domestic Tourism in Inner Mongolia(2014), analyzed the distribution of the domestic tourism market across Inner Mongolia and its 4 tourism sections through indexes including market concentration ratio, geographic concentration ratio, variance, etc.. The results showed that:(1) the market within the autonomous region remained to be the largest one in those 4 sections;(2) Beijing was the largest domestic tourism market outside Inner Mongolia;(3) different sections were divided on the target market of domestic tourism:(1) Beijing-Tianjin-Hebei Region proved to be the primary market of Inner Mongolia at large;(2) Beijing and 3 provinces in Northwest China came as the primary markets of Hulun Buir-Hinggan section;(3) Beijing-Tanjin-Hebei Region and Liaoning Province were the primary markets of Xilingol-Chifeng-Tongliao section;(4) BeijingShanxi-Hebei Region turned out to be the primary market of Huhhot-Baotou-Erdos-UlanqabBayannur section;(5) Beijing and Gansu were the primary markets of Wuhai-Alxa section;(4) the market concentration ratio of domestic tourism in different sections varied from each other, and the east section was the highest one, followed by middle section, Inner Mongolia as a whole, west section, and northeast section. As a result, authors of this paper made recommendations on how to develop the domestic tourism in Inner Mongolia.

中国文化和旅游融合发展效率时空动态演化及其驱动机制

提高文旅融合发展效率是关乎效率变革和质量变革背景下文化和旅游深度融合及高质量发展的重要科学问题,有效把握其动态演化特征及驱动机制对推动区域文化产业与旅游产业转型升级和提质增效及其深度融合高质量发展具有重要的理论价值和现实意义。文章构建文化和旅游融合发展效率分析框架,运用耦合协调模型、基于松弛变量的超效率测度模型、空间马尔科夫链和面板空间杜宾模型等方法,剖析中国2011—2019年文化和旅游融合发展效率的时空动态特征及其驱动机制。研究发现:1)中国文化和旅游融合发展效率在9年间仅提升3.4%,距离最佳生产前沿面还存在至少17.3%的潜力空间,4大区域呈东部>中部>西部>东北格局,并且仅天津、上海、广东与云南4个省份常年达到最佳生产前沿面,其他省份还存在至少6.7%~33.9%的潜力空间;2)中国文化和旅游融合发展效率大致呈现“东南沿海高值集聚,西北内陆低值集聚”空间格局,存在显著的路径依赖与马太效应现象,短期内难以实现跨越式增长,但当与高效率的省份为邻时,本地省份文化和旅游融合发展效率向上转移概率有所提升;3)产业结构与交通水平是提高本地省份文化和旅游融合发展效率的主要因素,但对邻近省份产生了负向溢出效应,科技创新、消费需求和政府调控促进了邻近省份文化与旅游融合发展效率,但对本地省份的推动作用尚不显著,服务队伍抑制了本地省份文化与旅游融合发展效率,但对邻近省份的溢出效应并不显著。

基于点-轴理论的东北亚旅游空间结构优化研究

东北亚涵盖朝鲜、韩国、日本、蒙古国4个国家全境和中国的东北3省与内蒙古自治区及俄罗斯的远东与西伯利亚2个联邦管理区,是世界经济的重要板块。本文根据点—轴理论从旅游资源、城市布局、自然地理环境、人口规模、交通线路与地域关系等角度探析了东北亚旅游空间结构的优化布局。结果显示:东北亚旅游空间结构优化形成“点—线—面”的布局,构建9核26心78点的三级旅游节点与4纵2横的旅游发展主轴线以及6大旅游发展组团的空间布局;东北亚旅游空间结构优化的轴线分为主轴线、辅助线和外联轴线,其中主轴线包括4纵2横;东北亚旅游空间可进一步划分为6大组团;东北亚旅游空间结构优化有利于区域经济健康持续发展。

中国省域旅游竞争力与旅游网络关注度空间错位研究

正确把握中国省域旅游竞争力与旅游网络关注度的错位关系,对推动区域旅游高质量发展大有裨益。基于新发展理念构建旅游竞争力评价指标体系,采用重力模型、空间错位指数综合考察2011—2020年中国省域旅游竞争力与旅游网络关注度的空间错位特征及影响因素。结果表明:①研究期内中国省域旅游竞争力与旅游网络关注度均呈增长趋势且具有明显的空间分异性,旅游竞争力重心呈集聚分布态势,旅游网络关注度重心则随时间波动变化,大致位于旅游竞争力重心的西南方向;②中国省域旅游竞争力与旅游网络关注度空间错位格局由东至西呈现出正向错位向负向错位逐渐过渡的分布特征,正向高错位区由东部沿海省域向中部省域延伸,负向高错位区主要分布在西部特色旅游地与热门网红城市;③旅游资源禀赋、经济社会发展、政府政策导向、网络环境等多种因素综合作用促成旅游竞争力与旅游网络关注度的空间错位格局。

四川省红色旅游景点空间格局及旅游路径优化

以四川省为例,利用核密度、空间自相关等方法分析其红色旅游景点空间分布格局,进一步探索旅游优化路径。结果表明,四川省红色旅游景点呈集聚分布态势,主要集中在成都-广元-宜宾-雅安等地,形成了“两带三团四心”的双“C”型空间格局。热点区和次热点区占据四川省红色旅游景点空间区域的主要部分,空间关联性差异明显,区域发展均衡程度不高。基于红色旅游景点的空间结构特征及各地资源属性,从顶层规划设计、旅游空间结构和红色产品策划三个维度提出了旅游开发的优化途径。

体育文化资本对我国体育旅游经济的影响研究——基于31个省(区、市)的面板数据分析

在推动文旅融合、提高文化附加值、促进旅游市场繁荣的背景下,探讨体育文化资本对体育旅游经济的影响具有重要意义。该研究基于我国31个省(区、市)的面板数据,采用空间可视化对省域体育文化资本的存量与体育旅游经济发展的时空关联特征进行分析,并借助空间杜宾模型及空间效应分解方法探讨了体育文化资本各维度对体育旅游经济的影响作用。研究发现,我国体育文化资本存量与体育旅游经济发展之间存在明显的空间分异现象与稳定的时空关联特征。其中,固体化体育文化资本对本地区体育旅游经济具有正向促进作用,对邻近地区体育旅游经济呈现负向溢出效应;而产品化、能力化和制度化体育文化资本对本地区和邻近地区体育旅游经济都呈现正向促进和正向空间溢出效应。基于上述分析,该研究提出了相应的促进建议:提高产品化体育文化资本质量,塑造体育文化IP;加强人才培养与交流活动,为体育旅游提供可持续动力;完善体育文化支持与管理政策,营造良好的体育旅游发展环境;加强省域间体育事业合作,发挥空间溢出效应。

基于ArcGIS的辽宁省乡村旅游重点村空间分布特征及影响因素

以辽宁省国家级和省级193个乡村旅游重点村为研究对象,利用ArcGIS空间分析技术探究了辽宁省乡村旅游重点村的空间分布特征及影响因素。辽宁省全域及辽中、辽南地区乡村旅游重点村呈均衡集聚态势,辽西地区呈现非均衡集聚态势。辽宁省乡村旅游重点村存在显著的空间分异,整体上表现出东高西低、局部小集聚特征。依据资源特点,辽宁省乡村旅游重点村分为农渔业特色主导型、少数民族文化型、红色旅游发展型、景区景点依托型和温泉康养型五大类,区域差异、空间分布及空间密度存在显著差异。辽宁省乡村旅游重点村空间分布格局是地形地貌、河流水系、经济、交通和旅游资源等多种因素共同作用的结果。

黄河流域乡村旅游重点村及其网络关注度空间分异规律

黄河流域乡村旅游的高质量发展成为乡村振兴战略、黄河流域生态保护和高质量发展战略实施的有力抓手。以黄河流域386个乡村旅游重点村为样本点,运用地理空间分析方法,研究黄河流域乡村旅游及其网络关注度的空间格局及差异。研究发现:(1)黄河流域乡村旅游重点村及其网络关注度在空间分布上均呈集聚态势。乡村旅游重点村形成甘青交界区、宁夏北部、河南北部、山东中部和四川中部五大集聚区,网络关注度集中在山东中部、四川中部、宁夏北部、陕西中部区域,内蒙古、甘肃西部、青海西部的关注度偏低,没有形成明显的集聚。(2)乡村旅游重点村及其网络关注度的集聚分布存在空间差异。山东中部、四川中部、宁夏北部区域乡村旅游重点村和网络关注度都呈现高度集聚;甘青交界乡村旅游重点村集聚,但网络关注度较低且分散;陕西中部区域乡村旅游重点村数量较少,但网络关注度呈现高度聚集;内蒙古、青海西部、陕西北部区域的重点村空间集聚度低、网络关注度低。(3)乡村旅游重点村及其网络关注度在空间关联上具有明显的差异性,黄河流域乡村旅游重点村的冷热点区分布与网络关注度的冷热点分布呈现倒置。根据研究的结论,在空间分析的基础上,提出乡村旅游空间格局优化和营销管理的建议。

绿水青山就是金山银山:生态环境对旅游经济影响的空间计量检验

“绿水青山就是金山银山”揭示了生态环境和经济发展的关系,探究生态环境质量对旅游经济的影响效应,有利于二者比翼双飞与协调发展。以2004-2019年中国31个省(直辖市、自治区,不含港澳台地区)为研究对象,利用空间自相关和空间面板杜宾模型探究生态环境质量对旅游经济的影响效应。结果表明:(1)生态环境质量和旅游经济发展的空间集聚性显著,空间关联性不断增强。(2)生态环境质量不仅对本地区旅游经济发展具有明显的促进作用,对相邻地区也具有溢出效应与示范作用。(3)生态环境质量作为影响旅游经济发展的重要因素,但不能忽略接待设施、资源禀赋、劳动力投入、物质资本、经济发展水平等多维要素的综合作用。要综合考量这些要素,才能促进“绿水青山”向“金山银山”的转换,实现生态环境与旅游经济的协调、健康、高效发展。

陕西省旅游生态效率的时空差异及影响因素

旅游生态效率提升有利于推进“双碳”目标的实现。文章以陕西省为研究对象,采用Super-SBM模型、GML指数和Tobit回归模型研究2013-2022年陕西省旅游生态效率的时空演变及影响因素。结果表明:(1)随着生态文明建设和文旅融合发展的不断推进,2013-2019年陕西省的旅游生态效率整体持续增长;2019年后,受疫情影响,陕西省的旅游生态效率有所下降。分地区看,旅游生态效率由高至低依次为关中平原区、陕南秦巴山区、陕北黄土高原区。(2)研究期间,陕西省各地级市的旅游生态效率GML指数呈上下波动态势,指数分解表明技术进步有利于旅游生态效率提升、技术效率提高阻碍旅游生态效率提升。(3)旅游经济规模扩大、经济发展水平提高和区域产业结构升级对旅游生态效率提升具有正向影响;技术创新水平提高对旅游生态效率提升具有负向影响;基础设施建设完善对旅游生态效率提升影响较弱。最后,结合陕西省旅游业的发展情况,文章给出了提高旅游生态效率的若干建议。