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晚明时期我国历史旅游客流空间集聚与扩散研究 被引量:13

AN ANALYSIS ON SPATIAL CENTRALIZATION AND DECENTRALIZATION OF DOMESTIC TOURIST FLOWS IN LATE MING DYNASTY
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摘要 本文以《四库全书》、《四库全书存目丛书》、《四库全书存目丛书补编》、《四库禁毁书丛刊》及《四库未收书辑刊》中记载的晚明文人游记为基础,借助SPSS12.0软件,对晚明时期我国历史旅游客流的集聚和扩散现象进行研究,通过因子分析发现当时我国已初步形成四大旅游集聚场和三大旅游扩散场,并进一步利用因子得分进行聚类分析,以此为依据划分旅游目的地和客源地等级结构。 Compared with current tourist flows, tourist flows in history were special: they were gradually formed in a very long period, and they were not industrial or systematic, but abiogenetic and scattered. As a result, research on tourist flows in history is comparatively difficult. Based on literators' travel notes in Late Ming Dynasty written in Sikuquanshu, Sikuquanshucunmucongshu, Sikuquanshuctmmucongshububian, Sikujinhuishucongkan and Sikuweishoushujikan, this paper analyzes centralization and decentralization of domestic tourist flows in Late Ming Dynasty of China through statistical software SPSS. Firstly, a database which shows directions and quantities of domestic tourist flows in Late Ming Dynasty is established, including 17 tourist generating places and 21 tourist destinations. Covering most of the territory in Late Ming Dynasty, this database can generally reflect the state of tourist flows in Late Ming Dynasty. Secondly, this paper finds out that four domestic tourist flows influx fields and three domestic tourist flows effusion fields were formed in Late Ming Dynasty by using factor analysis, namely Zhejiang, Jiangsu, Beijing, Shandong tourist flows influx fields and Zhejiang, Suhui, Min'e tourist flows effusion fields. Thirdly, this paper compartmentalizes hierarchical structure of tourist destinations and tourist generating places on the basis of cluster analysis. To be more specific, the first-class tourist destination is Zhejiang, the sub-fast-class tourist destinations are Jiangsu and Beijing, the second-class tourist destination is Shandong, and the third-class tourist destinations are the other 17 places. While the first-class tourist generating place is Zhejiang, the sub-first-class tourist generating place is Jiangsu, the second-class tourist generating place is Fujian, the sub-second-class tourist generating places are Anhui and Hubei, and the third-class tourist generating places are the other 12 places. Finally, it draws five conclusions: 1) the generation of main tourist generating places in Late Ming Dynasty was chiefly driven by economic booms, while the generation of main tourist destinations in that period was chiefly driven by magnetic tourist resources; 2) tourist generating places and destinations included in the database cover most of the provinces in Late Ming Dynasty, while the main generating places and destinations separately concentrate on only four or five provinces; 3) Zhejiang and Jiangsu gathered and spread the most powerful domestic tourist flows in Late Ming Dynasty; 4) distance was a quite important factor that influenced tourists' choice of destinations in Late Ming Dynasty, so tourists in that period tended to take short distance trips; 5) the coastal area in the east of China was both the main tourist generating places and destinations in Late Ming Dynasty, and it was superior to the inland area in the west of China.
作者 魏向东 朱梅
机构地区 苏州大学旅游系
出处 《人文地理》 CSSCI 北大核心 2008年第6期118-123,共6页 Human Geography
关键词 晚明 历史旅游客流 集聚 扩散 late ming dynasty tourist flows in history centralization decentralization
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  • 1陆林.山岳风景区客流研究──以安徽黄山为例[J].地理学报,1994,49(3):236-245. 被引量:143
  • 2吴必虎,唐俊雅,黄安民,赵荣,邱扶东,方芳.中国城市居民旅游目的地选择行为研究[J].地理学报,1997,52(2):97-103. 被引量:553
  • 3Matley J M. The geography of international tourism. Association of American Geographers, 1976.
  • 4Pearce D. Tourism Development. Harlow, London & New York: Longman. 1989.
  • 5Myriam Jansen-verbeke. A regional analysis of tourist flows within Europe. Tourism Management, 1995,16(1):73~82.
  • 6Sarath Divisekera. A model of demand for international tourism. Annals of Tourism Research, 2003,30(1) :31~49.
  • 7Joseph S Chen. Market segmentation by tourist' sentiments. Annals of Tourism Research, 2003,30 (1):178~193.
  • 8Ramesh Durbarry, M Thea Sinclair. Market shares analysis: the case of french tourism demand. Annals of Tourism Research, 2003,30(4) :927~941.
  • 9Teresa Garin-munoz, Teodosio Perez Amaral. An econometric model for international tourism flows to spain.Applied Economics Letters, 2000,7: 525 ~ 529.
  • 10Kulendran N, Maxwell L King. Forecasting international quarterly tourist flows using error-correction and timeseries models. International Journal of Forecasting, 1997,13:319~327.

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