摘要
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。
City is an important space carrier for tourists’activities.Grasping the characteristics of tourists’mobility between cities is the premise and foundation for exploring the tourism links between regional cities,clarifying the mechanism of tourism-affected regional development and optimizing the layout and strategy of urban tourism development in the future.Based on the clustering method,mining algorithm and network analysis method,this paper takes geotagged photos as the research object,and analyzes the spatial characteristics of inbound tourists from 52 prefecture-level cities in the Pan-Yangtze River Delta from the perspectives of distribution,type,flow and image.Through the data acquisition,processing,analysis and other steps,some conclusions can be drawn as follows.The results show that according to the degree of inbound tourists,the study area can be divided into the inbound tourism core area,the subcore area and the marginal area.The core area is highly consistent with the regional economic center,and higher economic level provides a strong support for the development of regional tourism.The sub-core area has prominent tourism resources,rich or special tourist resources can make up for development disadvantages and attract more tourists.The great tourism development potential of marginal area will become key development area in the future.At the same time,the density of inbound tourists’moving networks gradually decreases from the central core area to the outer edge area,forming a four-level network hierarchy,and the density of network structure decreases from east to west.Moreover,the distribution and flow of inbound tourists within the provinces and cities are also differentiated,which are closely related to resource endowments,economic levels,traffic conditions and service reception levels,and the different influencing factors have the difference function degree in different areas.Further quantitative analysis is needed at a later stage.Finally,the image analysis of inbound tourists shows that different regions generally have corresponding local characteristics,and confirm the influence and role of the most essential local characteristics of the destination on its spatial distribution and flow characteristics.
作者
卢淑莹
陶卓民
李涛
濮蓉
荣慧芳
LU Shuying;TAO Zhuomin;LI Tao;PU Rong;RONG Huifang(School of Geographical Science,Nanjing Normal University,Nanjing 210023,China;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China)
出处
《地理研究》
CSSCI
CSCD
北大核心
2021年第1期263-278,共16页
Geographical Research
基金
国家自然科学基金面上项目(41571139)。
关键词
地理标记照片
入境旅游
热点区域
流动特征
游客意象
泛长三角区域
geo-tagged photographs
inbound tourism
hotspots area
moving characteristics
tourist imagery
Pan-Yangtze River Delta