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南京市游客路徑軌跡空間特征研究——以地理標記照片為例

發(fā)布時間:2018-04-09 13:40

  本文選題:游客 切入點:路徑軌跡 出處:《經(jīng)濟地理》2014年01期


【摘要】:地理信息系統(tǒng)與通訊技術和網(wǎng)絡技術的發(fā)展和融合,為游客追蹤數(shù)據(jù)生產(chǎn)和采集提供了技術支持。本文借助于Panoramio這一新興網(wǎng)絡媒介與互動平臺,利用社會網(wǎng)絡挖掘技術,發(fā)現(xiàn)、提取Panoramio中游客地理標記照片信息數(shù)據(jù),運用Arcgis的空間熱點分析技術、追蹤分析技術對采集的數(shù)據(jù)進行空間信息的處理和表達,探索基于地理標記照片的南京市游客空間分布格局和路徑軌跡模式。研究發(fā)現(xiàn):①南京市游客地理標記照片呈現(xiàn)出高度的地理集聚特征,形成"大分散、小集聚"圈層式空間分異模式。南京城市核心區(qū)占主導,近郊區(qū)整體上弱于核心區(qū),體現(xiàn)了中心-外圍逐漸遞減的特點,說明南京市游客空間選擇具有明顯的向心性。②通過Getis-Ord Gi*分析,識別了核心熱點區(qū),熱點區(qū)具有傾向于重點旅游景區(qū)集聚、城市中央商務區(qū)集聚、重要文化空間集聚、重要交通設施集聚等特征,充分說明了照片空間分布和城市地域的旅游資源引力、商業(yè)集聚狀況、重要文化設施、交通樞紐地區(qū)等因素密切相關。③借助追蹤分析方法,挖掘出單節(jié)點軌跡、區(qū)域內(nèi)部軌跡、區(qū)域間路徑軌跡3種路徑方式。62.69%游客選擇單節(jié)點軌跡方式,13%游客選擇區(qū)域內(nèi)部路徑軌跡方式,24.31%游客選擇區(qū)域間路徑軌跡方式。④識別了110種不同路徑軌跡序列,形成7類區(qū)域間路徑軌跡模式,游客路徑軌跡中存在著明顯的結(jié)構(gòu)分層,形成了強中心線型結(jié)構(gòu)。
[Abstract]:The development and integration of GIS, communication technology and network technology provide technical support for tourist tracking data production and collection.In this paper, with the help of Panoramio, a new network medium and interactive platform, using the social network mining technology, we find that the information data of tourist geographical mark photos in Panoramio are extracted, and the spatial hot spot analysis technology of Arcgis is used.The spatial information of the collected data is processed and expressed by tracing and analyzing technology to explore the spatial distribution pattern and path track pattern of tourists in Nanjing based on geographical indication photos.It is found that the geographical tagging photographs of tourists in the city of Nanjing show a high degree of geographical agglomeration and form the spatial differentiation model of "large dispersion and small agglomeration".Nanjing urban core area dominates, and the whole suburb is weaker than the core area, which reflects the characteristics of decreasing gradually from center to periphery. It shows that the choice of tourist space in Nanjing has obvious concentric character .2 through Getis-Ord Gi* analysis, the core hot spot area is identified.The hot spots are characterized by the agglomeration of key tourist spots, the central business district of the city, the agglomeration of important cultural space, the agglomeration of important transportation facilities, etc., which fully illustrate the spatial distribution of photographs and the attraction of tourism resources in urban areas.Business agglomeration, important cultural facilities, transportation hub areas and other factors are closely related. 3. By means of tracing and analysis methods, we excavate the single node trajectory, the internal track of the region, and so on.Three ways of path path between regions. 62.69% of tourists choose a single node path, 13% of tourists choose a path path within a region, 24.31% of tourists choose an inter-regional path path, .4 identify 110 different path path sequences.Seven types of interregional path patterns are formed, and there are obvious structural stratification in the tourist path path, forming a strong centerline structure.
【作者單位】: 安徽師范大學國土資源與旅游學院;中國科學技術大學電子工程與信息科學系;
【基金】:國家自然科學基金項目(41101154、41230631)
【分類號】:F592.7

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