The spatio-temporal evolution and characteristics analysis of tourist flow in eco-tourism area:A case study of Yancheng eco-tourism area for David's deer
Received date: 2007-08-20
Revised date: 2007-11-26
Online published: 2008-01-25
Supported by
国家自然科学基金(40471050)资助
The research of the spatio-temporal evolution discipline of tourist flow helped to reveal inter-functional course and mechanism in terms of each inner-element of tourism system, and also provided bases for tourism planning, product development, as well as marketing and tourism management. This paper adopted K-Means cluster to undertake spatio-temporal analysis of the number of tourists in Yancheng eco-tourism area for David's deer. The phrases and market division of tourist changes in eco-tourism area for David's deer were discussed from two scales, namely, inner-provincial and inter-provincial.The results showed that the tourist flow of the above-mentioned two scales could be divided into three stages between 1998 and 2005, and could be marked off four different types of customer market properly. Yancheng eco-tourism area for David's deer ought to ascertain its target market and the management strategy according to the spatio-temporal distribution characteristics of the tourist flow. The most important core tourist markets of this eco-tourism area were the fourth and the third kinds of customer market, namely, Yancheng and Nanjing city in Jiangsu Province. When it comes to domestic tourist market, the priority should be given to the fourth one—Jiangzhehu area—as the basic market to explore. Temporal characteristics of tourist flow in different stages indicated that the tourist market of Yancheng eco-tourism area for David's deer varied amid relative stability, and represented distinctive regional difference. Except effects of space distance and transportation, the diversification of tourist flow was closely related with economic development, tourist motivation and choice, as well as theme tourism activities and tourism promotion. The pressing task for eco-tourism area was how to protect its resources and environment. The increase of tourists couldn't be pursued simply. We should attach importance to the optimization of tourism market structure, and select tourist market that would be highly responsible for environmental protection in order to pursue connotative development. Owing to the trend that the tourist market concentrated on Jiangzhehu area, in short term we could give the priority to explore the above-mentioned market (especially the tourist market in southern Jiangsu and Shanghai), and provide tourism and service products to meet the demands of tourist market. However, in the long term, in the precondition of proper eco-resource and environmental protection, the tourist market should be exploited vigorously and the convergence of tourist market should be dispersed further though effective integration and deep exploration of eco-tourism products in Yancheng seashore to attract tourists with high quality on a larger scale. The research finding showed that K-Means cluster could indicate the detailed information of spatio-temporal evolution in terms of tourist market and could be regarded as an effective analysis method for the spatio-temporal distribution and evolution characteristics.
HUANG Zhen-fang, YUAN Lin-wang, YU Zhao-yuan, WU Jiang, ZHOU Nian-xing . The spatio-temporal evolution and characteristics analysis of tourist flow in eco-tourism area:A case study of Yancheng eco-tourism area for David's deer[J]. GEOGRAPHICAL RESEARCH, 2008 , 27(1) : 55 -64 . DOI: 10.11821/yj2008010006
[1] 章锦河,张捷,李娜,等.中国国内旅游流空间场效应分析.地理研究, 2005,24(2):293~302
[2] Matley J M.The geography of international tourism. Association of American Geographers, 1976.
[3] Pearce D. Tourism Development. Harlow, London & New York: Longman,1989.
[4] 保继刚,楚义芳,旅游地理学(修订版).北京:高等教育出版社,1999.
[5] 唐顺铁,郭来喜,旅游流体系研究.旅游学刊,1998,13(3):39~41.
[6] 吴必虎. 中国旅游研究14 年. 旅游学刊,2001,(1):17~21.
[7] 陆林.山岳风景区客流研究.地理学报,1994, 49(3):236~246.
[8] 张捷,周寅康,都金康,等.观光旅游地客流时间分布特性的比较研究.地理科学, 1999, 19(1):49~54.
[9] 陆林,宣国富,章锦河,等.海滨型与山岳型旅游的客流季节性比较——以山亚、北海、普陀山、黄山、九华山为例.地理学报, 2002, 57(6):731~740.
[10] 卢松,陆林,王莉,等.古村落旅游客流时间分布特征及其影响因素研究——以世界文化遗产西递、宏村为例.地理科学, 2004, 24(2):250~256.
[11] 牛亚菲,谢丽波,刘春凤.北京市旅游客流时空分布特征与调控对策.地理研究,2005,24(2):283~292.
[12] 涂建军.四川省入境旅游客流时空动态模式研究.长江流域资源与环境,2004,(4).
[13] 丁正山.南京国内旅游流时空演变研究.旅游学刊,2004,(2).
[14] Crampon L J.Gravitational model approach to travel market analysis.Journal of Marketing, 1966,30(2):27~31.
[15] Chistine A Witt, Stephen F Witt, Nick Wilson. Forecasting international tourist flows. Annals of Tourism Research, 1994, 21(3):612~628.
[16] Gerard S Dharmaratne. Forecasting tourist arrivals in Barbados. Annals of Tourism Research, 1995, 22(4):804~818.
[17] 保继刚.引力模型在游客预测中的应用.中山大学学报(自然科学版),1992,31(4):133~136.
[18] 严汾,蒙吉军.Logistic增长模型在游客流量预测中的应用——以贵州省绥阳县为例.人文地理,2005,20(4):87~91.
[19] 吴必虎,唐俊雅,黄安民,等.中国城市居民旅游目的地选择行为研究.地理学报,1994,49(2):117~126.
[20] 张捷,周寅康,都金康,等.自然观光旅游地客源市场的空间结构研究.地理学报, 1999, 54(4):357~364.
[22] 宣国富,陆林,汪德根,等.三亚市旅游客流空间特性研究.地理研究,2004,23(1):115~124.
[23] 杨国良,张捷,艾南山,等.旅游流齐夫结构及空间差异化特征——以四川省为例.地理学报, 2006,61(12):1281~1289.
[24] 吴晋峰,包浩生.旅游系统的空间结构模式研究.地理科学,2002,(1).
[25] 马耀峰,李永军.中国入境后旅游流的空间分布研究.人文地理,2001,(6).
[26] T Kanungo,D Mount, N Netanyahu, C Piatko, et al.An efficient K-means clustering algorithm: Analysis and implementation.IEEE Trans. Pattern Anal. Mach. Intell. ,2000,24(7):881~892.
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